Misc

Here is a compilation of various items that doesn’t resemble a paper, retrieved by our internet crawler. If you believe we have categorized it incorrectly, kindly notify us.

  • Adaptive importance sampling of stochastic processes with graph-based mean hitting times, G Chennetier, H Chraibi, A Dutfoy, J Garnier - project.inria.fr
  • Simulation-Based Inference of Surface Mass Balance of Antarctic Ice Sheets, A Hermann, C Henry, G Moss, R Drews - 2024 - meetingorganizer.copernicus.org
  • Simulation-based inference as a paradigm for scientific machine learning in the cryosphere and beyond, B Groenke, K Aalstad, N Pirk, S Westermann… - 2024 - meetingorganizer.copernicus.org
  • Erosion rate estimation across a large-scale domain from surface analyses, thermochronology and cosmogenic nuclide concentrations A case study from Germany., T Bernard, C Glotzbach, A Neely, D Peifer, A Beer… - 2024 - meetingorganizer.copernicus.org
  • Surjectors surjection layers for density estimation with normalizing flows, S Dirmeier - Journal of Open Source Software, 2024 - joss.theoj.org
  • Simulation-based inference and data compression applied to cosmological problems, F Gerardi - 2024 - discovery.ucl.ac.uk
  • Forward-Simulations of Large-Scale Structure for Cosmological Inference, V Wietersheim-Kramsta - 2024 - discovery.ucl.ac.uk
  • Bayesian inference for challenging scientific models, JA Ritchie - 2024 - era.ed.ac.uk
  • Simulation-based Inference Cosmology from Strong Lensing, B Nevin - 2024 - osti.gov
  • Assessing and benchmarking the fidelity of posterior inference methods for astrophysics data analysis, B Nevin - 2024 - osti.gov
  • Simulation-Based Inference for Parameter Estimation of Complex Watershed Simulators, R Hull, E Leonarduzzi, L De La Fuente… - Hydrology and Earth …, 2024 - hess.copernicus.org
  • Cosmology constraints from Strong Gravitational Lensing using Simulation-Based Inference, S Jarugula, B Nord, J Poh, A Ciprijanovic, B Nevin - 2023 - osti.gov
  • Comparing Automated Posterior Estimation Techniques for Modeling Strong Lenses In Ground-based Survey Data, J Poh, A Samudre, A Ciprijanovic, B Nord, G Khullar… - 2023 - osti.gov
  • Genetics and population analysis link-ancestors fast simulation of local ancestry with tree sequence software, G Tsambos, J Kelleher, P Ralph, S Leslie, D Vukcevic - 2023 - monash.edu
  • Simulation-Based Inference for Detecting Blending in Spectra, D McNamara, J Regier - Ann Arbor - ml4physicalsciences.github.io
  • Simulation based inference with domain adaptation for strong gravitational lensing, ME Tamargo-Arizmendi - 2023 - osti.gov
  • GENERAL-PURPOSE STATISTICAL INFERENCE WITH DIFFERENTIAL PRIVACY GUARANTEES, Z Wang - 2023 - hammer.purdue.edu
  • Classification Under Prior Probability Shift in Simulation-Based Inference Application to Atmospheric Cosmic-Ray Showers, A Shen, T Dorigo, M Doro, R Izbicki, L Masserano… - 2023 - ml4physicalsciences.github.io
  • Étude de l'assemblage dynamique des grands halos de matière dans l'Univers observation des turbulences du milieu intra-amas, S Dupourqué - 2023 - theses.hal.science
  • Approximate Bayesian Inference for Smoking Habit Dynamics in Tuscany Check for updates, A Lachi, C Viscardi, M Baccini - Bayesian Statistics, New …, 2023 - books.google.com
  • Galaxy clustering multi-scale emulation, T Dumerchat, J Bautista - arXiv preprint arXiv:2311.10425, 2023 - aanda.org
  • Assessing the Effectiveness of Using Simulation-Based Inference Curriculum at the High School Level, S Roy, B Chance, T Mcdonnel, N Tintle - 2023 - osf.io
  • From Neural NLP to Neural SBI, W Wolf - willwolf.io
  • Machine learning and LHC event generation, F Maltoni, O Mattelaer, R Winterhalder - SciPost Physics, 2023 - dial.uclouvain.be
  • Simulation-based inference for the in situ estimation of the acoustic boundary admittance, JM Schmid, JD Schmid, S Marburg - The Journal of the Acoustical …, 2023 - pubs.aip.org
  • Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks, T Radev - dagm-gcpr.de
  • arXiv Simulation-based inference for stochastic gravitational wave background data analysis, J Alvey, V Domcke, U Bhardwaj, M Pieroni, C Weniger - 2023 - cds.cern.ch
  • Estimation of neural models from spikes, C Grodent - 2023 - matheo.uliege.be
  • Data assimilation as simulation-based inference, G Andry - 2023 - matheo.uliege.be
  • Inferring dynamical states in complex recurrent networks, V Buendia, A Levina - Bernstein Conference 2023, 2023 - pure.mpg.de
  • Gradient-based dimension reduction for Bayesian inverse problems and simulation-based inference, MC Brennan - 2023 - dspace.mit.edu
  • Contrastive Neural Ratio Estimation, P Forré, BK Miller, C Weniger - 2023 - dare.uva.nl
  • Higher-order statistics in cosmic shear, S Heydenreich - 2023 - bonndoc.ulb.uni-bonn.de
  • On noise, uncertainty and inference for computational diffusion MRI, JP Manzano Patron - 2023 - eprints.nottingham.ac.uk
  • Neural Computation Through Synaptic Dynamics in Serotonergic Networks, MBF Lynn - 2023 - ruor.uottawa.ca
  • arXiv Simulation-based inference in the search for CP violation in leptonic WH production, R Barrué, V Dao, P Conde-Muíño, R Santos - 2023 - cds.cern.ch
  • SIMBIG Galaxy Clustering beyond the Power Spectrum, CH Hahn, P Lemos, L Parker… - ml4astro.github.io
  • SimBIG Field-level Simulation-based Inference of Large-scale Structure, P Lemos, L Parker, CH Hahn, S Ho, M Eickenberg… - ml4astro.github.io
  • MCMC methods graph samplers, invariance tests and epidemic models, JA Scott - 2023 - spiral.imperial.ac.uk
  • Likelihood free inference with advanced machine learning techniques, L Wild - 2023 - repositum.tuwien.at
  • Field-Level Simulation-Based Inference of Large-Scale Structure, L Parker - 2023 - dataspace.princeton.edu
  • BayesFlow Amortized Bayesian Workflows With, PC Bürkner - raw.githubusercontent.com
  • Sequential Bayesian inference with intractable likelihoods A sequential mixture model method for posterior and likelihood estimation, H Häggström - 2023 - odr.chalmers.se
  • Master Thesis Implicit neural representations for robotic grasping, J Gustin - 2023 - matheo.uliege.be
  • Estimating the Spatial Dynamics of Plant Recruitment using Approximate Bayesian Computation, J Freeman - 2023 - macsphere.mcmaster.ca
  • The cosmic graph optimal information extraction from large-scale structure using catalogues, A Heavens, TL Makinen, P Lemos, N Porqueres… - spiral.imperial.ac.uk
  • ATLAS data analysis using a parallelized workflow on distributed cloud-based services with GPUs, JA Sandesara, R Coelho Lopes De Sa… - 2023 - cds.cern.ch
  • Estimateur neuronal de ratio pour l'inférence de la constante de Hubble à partir de lentilles gravitationnelles fortes, È Campeau-Poirier - 2023 - papyrus.bib.umontreal.ca
  • AI Seminar Machine Learning Powered Inference in Cosmology, TV Kristensen - 2023 - ai.ku.dk
  • Investigating model misspecification in simulation-based inference, PLC Rodrigues, I Statify, MN Arbel, I Thoth, F Forbes… - plcrodrigues.github.io
  • Investigating the turbulent hot gas in X-COP galaxy clusters, S Dupourqué, N Clerc, E Pointecouteau… - arXiv preprint arXiv …, 2023 - aanda.org
  • Towards Bayesian Full-Waveform Source Inversion using Simulation-Based Inference, A Saoulis, A Ferreira, B Joachimi, AS Mancini… - 2023 - meetingorganizer.copernicus.org
  • Radar forward modelling as a precursor for statistical inference, LS Muhle, G Moss, ACJ Henry, R Drews - 2023 - meetingorganizer.copernicus.org
  • Estimation of erosion rate parameters from neural network inverse modeling of river profile and thermo-geochronology data, T Bernard, C Glotzbach, D Peifer, A Neely… - 2023 - meetingorganizer.copernicus.org
  • Determining Basal Mass Balance of Ice Shelves Using Simulation-Based Inference, G Moss, V Višnjević, C Schröder, J Macke… - 2023 - meetingorganizer.copernicus.org
  • Test Coverage for Network Configurations, X Xu, W Deng, R Beckett, R Mahajan… - 20th USENIX Symposium …, 2023 - usenix.org
  • Rethinking the Statistical Analysis of Neuromechanical Data, RD Wilkinson, MR Mazzo… - Exercise and sport …, 2023 - journals.lww.com
  • Lightweight starshade position sensing with convolutional neural networks and simulation-based inference, A Chen, A Harness, P Melchior - Journal of Astronomical …, 2023 - spiedigitallibrary.org
  • A data integration framework for spatial interpolation of temperature observations using climate model data, T Economou, G Lazoglou, A Tzyrkalli, K Constantinidou… - PeerJ, 2023 - peerj.com
  • DIGS Deep Inference of Galaxy Spectra with Neural Posterior Estimation, JP Ciprijanovic, F Xu - inspirehep.net
  • Full posterior estimation of Gray Matter cytoarchitecture using a three-compartment model with exchange a simulation-based study, T Meunier, C Fang, M Jallais, D Wassermann - archive.ismrm.org
  • Amortised inference in diffusion MRI biophysical models using artificial neural networks and simulation-based frameworks, JPM Patron, T Kypraios, SN Sotiropoulos - archive.ismrm.org
  • Calibrating Agent-based Models to Microdata with Graph Neural Networks, JD Farmer, J Dyer, P Cannon, S Schmon - 2022 - ideas.repec.org
  • Using simulation-based inference to determine the parameters of an integrated hydrologic model a case study from the upper Colorado River basin, R Hull, E Leonarduzzi, L De La Fuente… - Hydrology and Earth …, 2022 - hess.copernicus.org
  • Temperature-dependent evolutionary speed shapes the evolution of biodiversity patterns across tetrapod radiations, A Skeels, W Bach, O Hagen, W Jetz, L Pellissier - Systematic Biology, 2022 - dora.lib4ri.ch
  • swyft Truncated Marginal Neural Ratio Estimation in Python, BK Miller, A Cole, C Weniger, F Nattino, O Ku… - Journal of Open …, 2022 - joss.theoj.org
  • Social Simulation Learning Model in Basic Socio-Cultural Sciences for Colleges Students Preliminary Studies., A Ananda, A Fitrisia, N Fitri - Special Education, 2022 - search.ebscohost.com
  • Simulation-based inference methods for particle physics, J Brehmer, K Cranmer - Artificial Intelligence for High Energy …, 2022 - World Scientific
  • Simulation Based Inference in'Tiny Data'Biology., D Flaherty - 2022 - repository.lib.ncsu.edu
  • Simulation-Based Estimation of General Structural Network Models, C Fen - 2022 - cameronfen.github.io
  • SIMBIG Likelihood-Free Inference of Galaxy Clustering, CH Hahn, M Abidi, M Eickenberg, S Ho… - Machine Learning …, 2022 - ml4astro.github.io
  • Practical estimation methods for high-dimensional multivariate stochastic volatility models, MN Ahsan, JM Dufour - 2022 - wp.lancs.ac.uk
  • Physics Degree, CA Dıaz-Caneja - 2022 - riull.ull.es
  • Mining for cosmological information Simulation-based methods for Redshift Space Distortions and Galaxy Clustering, C Cuesta-Lazaro - 2022 - etheses.dur.ac.uk
  • Matching Random Features, C Shalizi - 2022 - warwick.ac.uk
  • Machine Learning and LHC Event Generation, O Mattelaer - 2022 - dial.uclouvain.be
  • Lesson 8 Case study Panel data on dynamic variation in sexual contact rates, AA King, EL Ionides - 2022 - kingaa.github.io
  • Lesson 3 Likelihood-based inference for POMP models, AA King, EL Ionides, Q Lin - 2022 - kingaa.github.io
  • Lesson 1 Introduction to Simulation-based Inference for Epidemiological Dynamics, AA King, EL Ionides - 2022 - kingaa.github.io
  • Interpretable Uncertainty Quantification in AI for HEP, TY Chen, B Dey, A Ghosh, M Kagan, B Nord… - 2022 - osti.gov
  • Inférence statistique des trajectoires évolutives, N Spisak - 2022 - theses.fr
  • From Synapses to Circuits Different Levels of Functional Modeling of the Retina, C Schröder - 2022 - coschroeder.github.io
  • Fast Simulation-Based Bayesian Estimation of Heterogeneous and Representative Agent Models, C Fen - 2022 - cameronfen.github.io
  • Fast Estimation of Physical Galaxy Properties using Simulation-Based Inference, M Robeyns, S Fotopolou, M Walmsley, L Aitchison - ml4astro.github.io
  • Evolutionary Properties of Neural Networks Exploration of Robustness and Evolvability in the Genotype-Phenotype Map, D Cho - 2022 - lup.lub.lu.se
  • Enabling cortical cell-specific sensitivity on diffusion MRI microstructure measurements using likelihood-free inference, M Jallais - 2022 - theses.hal.science
  • Bayesian Estimation of Large-Scale Simulation Models with Gaussian Process Regression Surrogates, S Barde - 2022 - kent.ac.uk
  • Artificial Intelligence for High Energy Physics, P Calafiura, D Rousseau, K Terao - 2022 - books.google.com
  • Architectures for online simulation-based inference applied to robot motion planning, MA Asenov - 2022 - ethos.bl.uk
  • Approximate Bayesian Computation as a New Tool for Partial Discharge Analysis of Partial Discharge Data, K Hencken, EM Borrelli… - PHM Society …, 2022 - papers.phmsociety.org
  • Accelerated Galaxy SED Modeling using Amortized Neural Posterior Estimation, CH Hahn, P Melchior - Machine Learning for Astrophysics, 2022 - ml4astro.github.io
  • Uncertainty Quantification in Simulation-based Inference, N Dalmasso - 2021 - inspirehep.net
  • Uncertainty quantification for complex network contagion simulation models, F Patten-Elliott - 2021 - researchspace.auckland.ac.nz
  • Stronger symbolic summary statistics for the lhc, N Soybelman, A Butter, T Plehn… - Proc. of Workshop …, 2021 - ml4physicalsciences.github.io
  • Simulation-based Inference From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation, S Wiqvist - 2021 - portal.research.lu.se
  • Simulation-Based Inference for Parameter Identification in Mechanistic Models of Neural Dynamics, N Haug - 2021 - duo.uio.no
  • Simulating genetic diversity in heterogenous landscapes why, how, limits and perspectives, A Becheler - 2021 - becheler.github.io
  • Reframing jet physics with new computational methods, K Cranmer, M Drnevich, S Macaluso… - EPJ Web of …, 2021 - epj-conferences.org
  • Predicting chemical shifts with graph neural networks, Z Yang, M Chakraborty, AD White - Chemical science, 2021 - pubs.rsc.org
  • On the Jensen-Shannon divergence and the variation distance for categorical probability distributions, J Corander, U Remes, T Koski - Kybernetika, 2021 - dml.cz
  • On democratizing data science some iNZights into empowering the many, CJ Wild, T Elliott, A Sporle - Harv. Data Sci. Rev, 2021 - assets.pubpub.org
  • Minimal model of cultured neuronal networks population dynamics, O Vinogradov, V Buendia, A Levina - Bernstein Conference 2021, 2021 - pure.mpg.de
  • Measuring QCD splittings with invertible networks, S Bieringer, A Butter, T Heimel, S Höche, U Köthe… - SciPost Physics, 2021 - scipost.org
  • Kessler A machine learning library for spacecraft collision avoidance, G Acciarini, F Pinto, F Letizia… - … on Space Debris, 2021 - strathprints.strath.ac.uk
  • Interspecific gene flow and vicariance in Northern African rear-edge white oak populations revealed by joint analysis of microsatellites and flanking sequences., O Lepais, A Aissi, E Véla, Y Beghami - bioRxiv, 2021 - scholar.archive.org
  • Inference Guided Learning of Probabilistic Models, S Jin - 2021 - utd-ir.tdl.org
  • Ge ing the most out of particle physics experiments, A Fowlie - 2021 - andrewfowlie.github.io
  • Differentiable programming and design optimization, AG Baydin - 2021 - indico.cern.ch
  • Detecting and Quantifying Malicious Activity with Simulation-based Inference, AG Baydin - 2021 - gbaydin.github.io
  • Density estimation and conditional simulation using triangular transport, Y Marzouk - 2021 - bathicmsworkshop.github.io
  • Deep Learning for Systematic Generalization, GV Strazds - 2021 - df.lu.lv
  • Deep Learning Architectures for Amortized Bayesian Inference in Cognitive Modeling, S Radev - 2021 - archiv.ub.uni-heidelberg.de
  • シミュレーションに基づく仮説検定の考え方の教材開発 CODAP を用いたインフォーマルな推測, 小口祐一 - 日本科学教育学会年会論文集 45, 2021 - jstage.jst.go.jp
  • Arbitrary marginal neural ratio estimation for likelihood-free inference, F Rozet - 2021 - matheo.uliege.be
  • Apprentissage profond à partir des phylogénies, J Voznica - 2021 - theses.fr
  • A Bayesian approach to regional income inequality in Europe using EU-SILC data, M Lubrano, M Silva - 2021 - gesis.org
  • Solving inverse problems with invertable neural networks, U Koethe - 4th IML Workshop, CERN, 2020 - indico.cern.ch
  • Simulation Based Inference に基づく指導について~ 中高の接続も視野に入れて~, 青山和裕 - 日本科学教育学会年会論文集 44, 2020 - jstage.jst.go.jp
  • Simulation Based Inference in Epidemic Models, T Dharmagadda - 2020 - digitalcommons.montclair.edu
  • Simulation− Based Inference for Global Health Decisions, AG Baydin - 2020 - cs.ox.ac.uk
  • Simulation-based goal tree success tree for the risk analysis of cyber-physical systems, F Di Maio, R Mascherona, W Wang… - Proceedings of the 29th …, 2020 - re.public.polimi.it
  • Resampling-based methods for biologists, JR Fieberg, K Vitense, DH Johnson - PeerJ, 2020 - peerj.com
  • Relaxed continuous time Markov chains, H Koeppl, C Wildner - 2020 - bcs.tu-darmstadt.de
  • Probabilistic ABC with Spatial Logistic Gaussian Process modelling, A Gautier, D Ginsbourger… - Third Workshop on …, 2020 - ml4physicalsciences.github.io
  • Master's Thesis Lightning Gravitational Wave Parameter Inference through Neural Amortization, A Delaunoy - 2020 - matheo.uliege.be
  • Learning Sequential Chemical Reactions, H Koeppl, C Wildner - 2020 - etit.tu-darmstadt.de
  • Introduction to statistical investigations, N Tintle, BL Chance, GW Cobb, AJ Rossman, S Roy… - 2020 - books.google.com
  • Intermediate statistical investigations, N Tintle, BL Chance, K McGaughey, S Roy, T Swanson… - 2020 - books.google.com
  • Improving inference with matrix elements and machine learning, J Brehmer, K Cranmer, F Kling - International Journal of Modern …, 2020 - World Scientific
  • Differentiable programming in high-energy physics, AG Baydin, KC NYU, M Feickert, L Gray… - Submitted as a …, 2020 - gbaydin.github.io
  • CFR Working Paper NO. 14-06 Empirical Asset Pricing with Multi-Period Disaster Risk A Simulation-Based Approach, J Sönksen, J Grammig - 2020 - cfr-cologne.de
  • Bayesian optimized likelihood-free inference on genetic data, A Sipola - 2020 - helda.helsinki.fi
  • Bayesian inference for linear stochastic differential equations with application to biological processes, AT McLean - 2020 - theses.ncl.ac.uk
  • Using the Infusion package, F Rousset - 2019 - kimura.univ-montp2.fr
  • Three Essays on Statistical Inference on Inequality Measures, AI Zalghout - 2019 - curve.carleton.ca
  • Statistical inference via data science A ModernDive into R and the tidyverse, C Ismay, AY Kim - 2019 - books.google.com
  • Reconstructing the geography of speciation from contemporary biodiversity data, A Skeels, M Cardillo - The American Naturalist, 2019 - journals.uchicago.edu
  • Population genetic modeling of genomic variation in Streptococcus pneumoniae, P Marttinen, NJ Croucher, MU Gutmann, J Corander… - 2019 - mycourses.aalto.fi
  • Introduction to Data Science as a Pathway to Further Study in Computing., M Guerzhoy - ICER, 2019 - cs.toronto.edu
  • Estimation and specification testing of panel data models with non-ignorable persistent heterogeneity, contemporaneous and intertemporal simultaneity and …, V Hajivassiliou - 2019 - eprints.lse.ac.uk
  • Approximate bayesian computation methods for epidemic models, PJ Neal - Handbook of Infectious Disease Data Analysis, 2019 - taylorfrancis.com
  • Active physical inference via reinforcement learning, S Li, Y Sun, S Liu, T Wang, T Gureckis, N Bramley - 2019 - psyarxiv.com
  • A simple efficient moment-based estimator for the stochastic volatility model, MN Ahsan, JM Dufour - Topics in Identification, Limited Dependent …, 2019 - emerald.com
  • Strategies and representations in physical inference., KA Smith, J Tenenbaum, E Anderson, SJ Hespos… - CogSci, 2018 - perception.jhu.edu
  • Modeling financial environments using geometric fractional Brownian motion model with long memory stochastic volatility, MKM Al Hagyan - Universiti Utara Malaysia, 2018 - etd.uum.edu.my
  • Likelihood-free Inference of Population Genetic Parameters from Time-Sampled Genetic Data, H Shim - 2018 - infoscience.epfl.ch
  • Indirect inference applied to financial econometrics, JM Duchesne - 2018 - tesi.luiss.it
  • Bayesian nonparametric mixture models using nimble, C Wehrhahn, A Rodriguez, C Paciorek - NeurIPS workshop on …, 2018 - par.nsf.gov
  • Assessing the association between quantitative maturity and student performance in an introductory statistics class Simulation-based vs non simulation-based, JL VanderStoep, O Couch, C Lenderink - Proceedings of the …, 2018 - isi-stats.com
  • Assessing simulation-based inference in secondary schools, S Roy, T Mcdonnel - Unpublished manuscript. http://www. isi-stats …, 2018 - isi-stats.com
  • An Instructional Strategy with Simulations Used to Increase Statistical Literacy among Students in a Hispanic Serving Institution, EO Hernandez - 2018 - digitalcommons.fiu.edu
  • A new variant of estimation approach to asymmetric stochastic volatilitymodel, Z Men, TS Wirjanto - Quantitative Finance and Economics, 2018 - aimspress.com
  • The workshops on stochastic geometry, stereology and image analysis, EBV Jensen, HJG Gundersen - Image Analysis & Stereology, 2017 - ias-iss.org
  • The mosaic package helping students to'think with data'using R, RJ Pruim, DT Kaplan, NJ Horton - R Journal, 2017 - digitalcommons.calvin.edu
  • Technological Transition and Price Discrimination, MRP Grossmann - 2017 - max.pm
  • Simulation-based Estimation and Inference of Production Frontiers, TT Yang, Y Zhang - Frontiers, 2017 - core.ac.uk
  • Latent Gaussian modeling and INLA A review with focus on space-time applications, T Opitz - Journal de la société française de statistique, 2017 - numdam.org
  • Computer Intensive Statistics, AM Johansen - 2017 - warwick.ac.uk
  • COMMUNITY COLLEGE INSTRUCTORS'AND STUDENTS'EXPLORATION OF SIMULATION-BASED STATISTICAL INFERENCE, I Timchenko - 2017 - scholar.archive.org
  • Advances on simulation based selection of actions for a humanoid soccer-robot, H Mellmann, B Schlotter - Proceedings of the 12th Workshop …, 2017 - informatik.hu-berlin.de
  • Three Essays on the Study of Persistence via Impulse-Response Confidence Bands with Application to Autoregressive Moving Average (ARMA) Processes, B Peraza Lopez - 2016 - curve.carleton.ca
  • Simulation-based inference for the finite-time ruin probability of a surplus with a long-memory, Y Shimizu, Y Zheng - 2016 - sigmath.es.osaka-u.ac.jp
  • Likelihood-Based Inference for Partially Observed Multi-Type Markov Branching Processes, J Xu - 2016 - digital.lib.washington.edu
  • Identification and Persistence-Robust Exact Inference in DSGE Models, L Khalaf, Z Lin, A Reza - 2016 - fass.nus.edu.sg
  • 가습기 살균제 연구의 배후에 있는 재정적 이해상충에 대한 비판적 검토-미국대학의 경우와 비교를 통하여, 공혜정, 신연선, 김옥주 - 생명윤리정책연구, 2016 - kmbase.medric.or.kr
  • A note on the multiple comparisons of exponential location parameters with several controls under heteroscedasticity, M Kharrati-Kopaei, EK Koopaei - Hacettepe Journal of Mathematics …, 2016 - dergipark.org.tr
  • Simultaneous Indirect Inference, Impulse Responses, and ARMA models!, LKBP López - 2015 - pdfs.semanticscholar.org
  • Simulation based inference in epidemic models, G Kratzer - 2015 - zora.uzh.ch
  • POPE post optimization posterior evaluation of likelihood free models, E Meeds, M Chiang, M Lee… - BMC …, 2015 - bmcbioinformatics.biomedcentral …
  • Experiencing a Paradigm Shift Teaching Statistics through Simulation-based Inference, D Klanderman, M Maxwell, N Tintle - of the Association of …, 2015 - pillars.taylor.edu
  • EDITORS'INTRODUCTION IDENTIFICATION, SIMULATION AND FINITE-SAMPLE INFERENCE, RBC Chaire - L'Actualité économique, 2015 - mail.cirano.qc.ca
  • Why bayes?, I Jeliazkov - International Journal of Mathematical Modelling and …, 2014 - inderscience.com
  • Student attitudes toward statistics from a randomization-based curriculum, T Swanson, J VanderStoep, N Tintle - … , Flagstaff, AZ. http://icots. info/icots/9 …, 2014 - icots.info
  • Statement of Research, MA Rahman - 2014 - iitk.ac.in
  • Population structure, G Guillot, L Orlando - 2014 - orbit.dtu.dk
  • Non-Parametric Simulated ML Estimation of Parameters in Heterogeneous Agent Models WEHIA 2014 Presentation, J Kukacka, J Barunik - 2014 - finmap.uni-kiel.de
  • Generalized linear models with coarsened covariates A practical Bayesian approach., TR Johnson, MM Wiest - Psychological Methods, 2014 - psycnet.apa.org
  • Exact Inference in DSGE Models, L Khalaf, Z Lin, A Reza - 2014 - blocnotesdeleco.banque-france.fr
  • Endogeneity in parametric duration models with applications to clinical risk indices., A Acharya, L Khalaf, M Voia, D Wensley - 2014 - bayes.city.ac.uk
  • Approximate Bayesian parameterization of a process-based tropical forest model, F Hartig, C Dislich, T Wiegand, A Huth - Biogeosciences, 2014 - bg.copernicus.org
  • Approximate Bayesian computation by subset simulation, M Chiachio, JL Beck, J Chiachio, G Rus - SIAM Journal on Scientific …, 2014 - SIAM
  • Spatial statistics and computational methods, J Møller - 2013 - books.google.com
  • Regression analysis of count data, AC Cameron, PK Trivedi - 2013 - books.google.com
  • Large-Scale Optimization for Bayesian Inference in Complex Systems, O Ghattas - 2013 - osti.gov
  • Integrative genomics with mediation analysis in a survival context, S Nemes, TZ Parris, A Danielsson, Z Einbeigi… - … Methods in Medicine, 2013 - hindawi.com
  • „Delayed acceptance particle MCMC for exact inference in stochastic biochemical network models “, A Golightly, DA Henderson, C Sherlock - 2013 - mas.ncl.ac.uk
  • Consistent estimation of agent-based models by simulated minimum distance, J Grazzini, MG Richiardi - LABORatorio R. Revelli working …, 2013 - laboratoriorevelli.it
  • Robust inference on parameters via particle filters and sandwich covariance matrices, A Doucet, NG Shephard - 2012 - nuffield.ox.ac.uk
  • Physical reasoning in complex scenes is sensitive to mass, JB Hamrick - 2012 - dspace.mit.edu
  • Moment-based estimation of macroscopic dynamic models in macroeconomics and finance, TS Jang - 2012 - macau.uni-kiel.de
  • Efficient particle MCMC for exact inference in stochastic biochemical network models through approximation of expensive likelihoods, A Golightly, DA Henderson, C Sherlock - Stat. Comput, 2012 - mas.ncl.ac.uk
  • Simulation-based temporal projection of everyday robot object manipulation, L Kunze, ME Dolha, E Guzman, M Beetz - The 10th International …, 2011 - ias.in.tum.de
  • When are probabilistic programs probably computationally tractable, CE Freer, VK Mansinghka, DM Roy - … Workshop on Monte Carlo Methods for …, 2010 - mit.edu
  • Impact of rock-physics depth trends and Markov random fields on hierarchical Bayesian lithology/fluid prediction, K Rimstad, H Omre - Geophysics, 2010 - pubs.geoscienceworld.org
  • Higher order improvements for approximate estimators, D Kristensen, B Salanié - 2010 - academiccommons.columbia.edu
  • Further evidence on simulation inference for near unit-root processes with implications for term structure estimation, P Fuleky, E Zivot - 2010 - hawaii.edu
  • Flexible and robust modelling of volatility comovements A comparison of two multifractal models, R Liu, T Lux - 2010 - econstor.eu
  • Enhancing conceptual understanding with data driven labs, R Gould, G Davis, R Patel, M Esfandiari - Data and context in statistics …, 2010 - icots.info
  • Bayesian Inference in a Stochastic Volatility Nelson-Siegel Model, F Yang, N Hautsch - 2010 - econstor.eu
  • Model-based inference techniques for detecting high-level team intentions, AHCBM GIERSICH, T KIRSTE - Behaviour Monitoring and …, 2009 - books.google.com
  • Handbook of financial time series, TG Andersen, RA Davis, JP Kreiß, TV Mikosch - 2009 - books.google.com
  • An introduction to statistical inference and its applications with R, MW Trosset - 2009 - books.google.com
  • Models in finance and medicine using Bayesian inference, Y Ibuka - 2008 - rucore.libraries.rutgers.edu
  • A companion to theoretical econometrics, BH Baltagi - 2008 - books.google.com
  • Simulation-Based Estimation of Contingent-Claims Prices, J Yu - 2007 - ink.library.smu.edu.sg
  • Indirect Inference for Dynamic Panel Models, J Yu - 2007 - ink.library.smu.edu.sg
  • Comparing probability forecasts in Markov regime switching business cycle models, DR Smith, A Layton - Journal of Business Cycle Measurement and …, 2007 - oecd-ilibrary.org
  • Bayesian inference in dynamic models with latent factors, M Billio, R Casarin, D Sartore - WORKING PAPER-DEPARTMENT OF …, 2007 - iris.unive.it
  • An objective function for simulation based inference on exchange rate data, P Winker, M Gilli, V Jeleskovic - Journal of Economic Interaction and …, 2007 - core.ac.uk
  • Spatio-temporal analysis of areal data and discovery of neighborhood relationships in conditionally autoregressive models, S Guha, L Ryan - 2006 - biostats.bepress.com
  • Population genetic inference of demographic processes in the African Wild Silk Moth, Gonometa postica (Lasiocampidae), W Delport - 2006 - repository.up.ac.za
  • On a simple two-stage closed-form estimator for a stochastic volatility in a general linear regression, JM Dufour, P Valéry - … Analysis of Financial and Economic Time …, 2006 - emerald.com
  • Is there a real Bayesian revolution in pattern recognition for bioinformatics?, J Corander - Current Bioinformatics, 2006 - ingentaconnect.com
  • Efficient proposals in reversible jump MCMC for disk detection, Y Shen, E Thönnes - IMECS 2006: International …, 2006 - wrap.warwick.ac.uk
  • Bayesian modelling of geostatistical malaria risk data, L Gosoniu, P Vounatsou, N Sogoba… - Geospatial …, 2006 - geospatialhealth.net
  • Applying siena, C Steglich, TAB Snijders, P West - Methodology, 2006 - econtent.hogrefe.com
  • Structured connectionist models of language, cognition and action, N Chang, J Feldman, S Narayanan - Modeling Language, Cognition …, 2005 - World Scientific
  • Statistical inference and simulation for spatial point processes, J Moller, RP Waagepetersen - 2003 - books.google.com
  • Simulation-based inference and nonlinear canonical analysis in financial econometrics, P Valéry - 2005 - papyrus.bib.umontreal.ca
  • Gaussian Markov random fields theory and applications, H Rue, L Held - 2005 - books.google.com
  • Finite-sample simulation-based inference in VAR models with applications to order selection and causality testing, JM Dufour, T Jouini - Cahier de recherche, 2005 - papyrus.bib.umontreal.ca
  • Finite and Large Sample Inference for One-and Two-Factor Stochastic Volatility Models, JM Dufour, P Valéry - 2005 - hec.ca
  • Simulation-based estimation of dynamic models with continuous equilibrium solutions, MS Santos - 2003 - e-archivo.uc3m.es
  • Modeling health insurance choice using the heterogeneous logit model, M Keane - 2004 - mpra.ub.uni-muenchen.de
  • Die Erfassung der langfristigen Absatzmöglichkeiten mit Hilfe des Lebenszyklus eines Produktes, BH Baltagi - 2004 - books.google.com
  • CURRICULUM VITAE January 2016, P CONTOYANNIS - 2004 - altausterity.mcmaster.ca
  • Bayesian Inference for Mixture of Stable Distributions, R Casarin - WORKING PAPERS-CENTRE DE RECHERCHES EN …, 2004 - iris.unive.it
  • SIMULATION-BASED ESTIMATION OF CONTINUOUS DYNAMIC MODELS, MS SANTOS - 2003 - faculty.wcas.northwestern.edu
  • Identification, weak instruments and statistical inference in econometrics problems and solution, JM Dufour - presidential address to the Canadian economics …, 2003 - cirano.qc.ca
  • Causality in vector autoregressions A Bayesian graphical modelling approach, J Corander, MA Villani - 2003 - gauss.stat.su.se
  • Simulation based methods for financial time series, M Billio - Atti della XLI Riunione Scientifica of Italian Statistical …, 2002 - greta.it
  • Putting frames in perspective, N Chang, S Narayanan… - COLING 2002: The 19th …, 2002 - aclanthology.org
  • Perfect simulation and inference for spatial point processes, J Møller, KK Berthelsen - 2002 - webdoc.sub.gwdg.de
  • with Random Effects, G Calzolariº, L Magazzini… - Econometric Studies: A …, 2001 - books.google.com
  • The dynamics of health in British households Simulation-based inference in panel probit models, N Rice - 2001 - york.ac.uk
  • Simulation based inference for dynamic multinomial choice models, J Geweke, D Houser, M Keane - Companion for Theoretical …, 2001 - books.google.com