Bayesian Data Analysis

Cited by (1,150)

Items 801–900 of 1,150

1. Effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter of Poisson-gamma models for modeling motor vehicle crashes: A Bayesian perspective
   Dominique Lord, Luis Miranda-Moreno · 2007 · Safety Science
2. State-space models for bio-loggers: A methodological road map
   Ian David Jonsen, Marinelle Basson, Sophie Bestley, Mark V. Bravington, Toby A. Patterson, M.W. Pedersen, Robin B. Thomson, Uffe Høgsbro Thygesen, Simon J. Wotherspoon · 2012 · Deep Sea Research Part II Topical Studies in Oceanography
3. The form of the forgetting curve and the fate of memories
   Lee Averell, Andrew Heathcote · 2010 · Journal of Mathematical Psychology
4. Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation
   Benjamin Renard, Dmitri Kavetski, Étienne Leblois, Mark Thyer, George Kuczera, Stewart William Franks · 2011 · Water Resources Research
5. Spatial Data Analysis
   Robert Haining · 2003 · Cambridge University Press eBooks
6. Contrasting patterns of body shape and neutral genetic divergence in marine and lake populations of threespine sticklebacks
   Tuomas Leinonen, J. M. Cano, Hannu Mäkinen, Juha Merilä · 2006 · Journal of Evolutionary Biology
7. Multiple Linear Regression
   Lynn E. Eberly · 2007 · Methods in molecular biology
8. Calibrated Bayes
   Roderick J. A. Little · 2006 · The American Statistician
9. Approximate Bayesian Computation: A Nonparametric Perspective
   Michaël G. B. Blum · 2010 · Journal of the American Statistical Association
10. Bayesian Model Adequacy and Choice in Phylogenetics
    Bollback, Jonathan P. · 2002 · Molecular Biology and Evolution
11. Hierarchical Models in Environmental Science
    Christopher K. Wikle · 2003 · International Statistical Review
12. Beyond SNP heritability: Polygenicity and discoverability of phenotypes estimated with a univariate Gaussian mixture model
    Dominic Holland, Oleksandr Frei, Rahul S. Desikan, Chun Chieh Fan, Alexey A. Shadrin, Olav Bjerkehagen Smeland, V. S. Sundar, Paul M. Thompson, Ole A. Andreassen, Anders Martin Dale · 2020 · PLoS Genetics
13. A nonlinear mixed model framework for item response theory.
    Frank Rijmen, Francis Tuerlinckx, Paul A. L. de Boeck, Peter Kuppens · 2003 · Psychological Methods
14. Quantifying Inter- and Intra-Population Niche Variability Using Hierarchical Bayesian Stable Isotope Mixing Models
    Brice Xavier Semmens, Eric J. Ward, Jonathan W. Moore, Chris T. Darimont · 2009 · PLoS ONE
15. Patterns and Drivers of Tree Mortality in Iberian Forests: Climatic Effects Are Modified by Competition
    Paloma Ruiz‐Benito, Emily Rebecca Lines, Lorena Gómez‐Aparicio, Miguel Angel Zavala, David A. Coomes · 2013 · PLoS ONE
16. Of Bugs and Birds: Markov Chain Monte Carlo for Hierarchical Modeling in Wildlife Research
    William A. Link, Emmanuelle Cam, James David Nichols, Evan G. Cooch · 2002 · Journal of Wildlife Management
17. Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota
    Sudipto Banerjee · 2003 · Biostatistics
18. Influence of tree characteristics and forest management on tree microhabitats
    Aurélie Vuidot, Yoan Paillet, Frédéric Archaux, Frédéric Gosselin · 2010 · Biological Conservation
19. A tutorial on testing hypotheses using the Bayes factor.
    Herbert J. A. Hoijtink, Joris Mulder, Caspar J. Van Lissa, Xin Gu · 2019 · Psychological Methods
20. Dynamic Risk Profiling Using Serial Tumor Biomarkers for Personalized Outcome Prediction
    David Matthew Kurtz, Mohammad Shahrokh Esfahani, Florian Scherer, Joanne Soo, Michael Chuwei Jin, Chih Long Liu, Aaron M. Newman, Ulrich Dührsen, Andreas Hüttmann, Olivier Casasnovas et al. · 2019 · Cell
21. Analysis of Survey Data
    Raymond L. Chambers, Chris J. Skinner · 2020 · Wiley eBooks
22. Efficacy of Prophylactic Antibiotic Therapy in Spinal Surgery: A Meta-analysis
    Fred G. Barker · 2002 · Neurosurgery
23. QUANTIFYING KNOWLEDGE SPILLOVERS USING SPATIAL ECONOMETRIC MODELS
    Corinne Autant‐Bernard, James Paul LeSage · 2010 · Journal of Regional Science
24. The default network of the human brain is associated with perceived social isolation
    Spreng, R. Nathan, Dimas, Emile, Mwilambwe-Tshilobo, Laetitia, Dagher, Alain, Koellinger, Philipp, Nave, Gideon, Ong, Anthony, Kernbach, Julius M., Wiecki, Thomas V., Ge, Tian et al. · 2020 · Nature Communications
25. On the Fit and Forecasting Performance of New Keynesian Models
    Marco Del Negro, Frank Schorfheide, Frank R. Smets, Raf Wouters · 2005 · SSRN Electronic Journal
26. How Many People Do You Know?: Efficiently Estimating Personal Network Size
    Tyler H. McCormick, Matthew Salganik, Tian Zheng · 2010 · Journal of the American Statistical Association
27. Hydrological modelling of the Chaohe Basin in China: Statistical model formulation and Bayesian inference
    Jing Yang, Peter Reichert, Karim C. Abbaspour, Hong Yang · 2007 · Journal of Hydrology
28. Statistical evaluation of learning curve effects in surgical trials
    Jonathan Alistair Cook, Craig Robert Ramsay, Peter M. Fayers · 2004 · Clinical Trials
29. The PROTECT AF (WATCHMAN Left Atrial Appendage System for Embolic PROTECTion in Patients with Atrial Fibrillation) Trial
    Rebecca Brown Fountain, David R. Holmes, Krishnaswamy Chandrasekaran, Douglas L. Packer, Samuel J. Asirvatham, Robert A. Van Tassel, Zoltan G. Turi · 2006 · American Heart Journal
30. Model-Based Clustering and Classification for Data Science
    Charles Bouveyron, Gilles Celeux, Thomas Brendan Murphy, Adrian E. Raftery · 2019 · Cambridge University Press eBooks
31. Bayesian ranking of sites for engineering safety improvements: Decision parameter, treatability concept, statistical criterion, and spatial dependence
    Shaw‐Pin Miaou, Joon Jin Song · 2005 · Accident Analysis & Prevention
32. Commensurate Priors for Incorporating Historical Information in Clinical Trials Using General and Generalized Linear Models
    Brian Paul Hobbs, Daniel J. Sargent, Bradley P. Carlin · 2012 · Bayesian Analysis
33. Successful Austerity in the United States, Europe and Japan
    Giovanni Callegari, Giovanni Melina, Nicoletta Batini · 2012 · IMF Working Paper
34. Quality Measurement in Adult Cardiac Surgery: Part 2—Statistical Considerations in Composite Measure Scoring and Provider Rating
    Sean M. O’Brien, David M. Shahian, Elizabeth R. DeLong, Sharon‐Lise T. Normand, Fred H. Edwards, Victor A. Ferraris, Constance K. Haan, Jeffrey B. Rich, Cynthia M. Shewan, Rachel S. Dokholyan et al. · 2007 · The Annals of Thoracic Surgery
35. Electoral Effects of Biased Media: Russian Television in Ukraine
    Leonid V. Peisakhin, Arturas Rozenas · 2017 · American Journal of Political Science
36. Bayesian methods in bioinformatics and computational systems biology
    Wilkinson, D. J. · 2006 · Briefings in Bioinformatics
37. A role for the developing lexicon in phonetic category acquisition.
    Naomi H. Feldman, Thomas L. Griffiths, Sharon J. Goldwater, James L. Morgan · 2013 · Psychological Review
38. Prior information and uncertainty in inverse problems
    John A. Scales, Luis Tenorio · 2000 · Geophysics
39. Practical Bayesian adaptive randomisation in clinical trials
    Peter F. Thall, J. Kyle Wathen · 2007 · European Journal of Cancer
40. 5. Inversion for Applied Geophysics: A Tutorial
    Douglas W. Oldenburg, Yaoguo Li · 2005 · Society of Exploration Geophysicists eBooks
41. Ab Initio Limits of Atomic Nuclei
    Steven Ragnar Stroberg, J. D. Holt, A. Schwenk, J. Simonis · 2021 · Physical Review Letters
42. Predicting Upper Limb Motor Impairment Recovery after Stroke: A Mixture Model
    Rick van der Vliet, Ruud Willem Selles, Eleni‐Rosalina Andrinopoulou, Rinske H. M. Nijland, Gerard Maria Ribbers, Maarten A. Frens, Carel G. M. Meskers, Gert Kwakkel · 2020 · Annals of Neurology
43. Learning earth system models from observations: machine learning or data assimilation?
    Alan Geer · 2021 · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
44. Estimation and Evidence in Forensic Anthropology: Age‐at‐Death
    Lyle W. Konigsberg, Nicholas P. Herrmann, Daniel J. Wescott, Erin H. Kimmerle · 2008 · Journal of Forensic Sciences
45. Uncovering ecological state dynamics with hidden Markov models
    Brett T. McClintock, Roland Langrock, Olivier Giménez, Emmanuelle Cam, David Louis Borchers, Richard Glennie, Toby A. Patterson · 2020 · Ecology Letters
46. BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks
    Stefan T. Radev, Ulf Kai Mertens, Andreas Voß, Lynton Ardizzone, Ullrich Köthe · 2020 · IEEE Transactions on Neural Networks and Learning Systems
47. A Bayesian Approach to Nonlinear Latent Variable Models using the Gibbs Sampler and the Metropolis-Hastings Algorithm
    Gerhard Arminger, Bengt Muthén · 1998 · Psychometrika
48. When the Brain Takes a Break: A Model-Based Analysis of Mind Wandering
    Mittner, Matthias, Boekel, Wouter, Tucker, Adrienne M., Turner, Brandon M., Heathcote, Andrew, Forstmann, Birte U. · 2014 · The Journal of Neuroscience
49. Automated Scoring of Complex Tasks in Computer-Based Testing
    2006 · Routledge eBooks
50. Donor-specific anti-HLA Abs and graft failure in matched unrelated donor hematopoietic stem cell transplantation
    Stefan Octavian Ciurea, Peter F. Thall, Xuemei Wang, Sa A. Wang, Ying Hu, Pedro Cano, Fleur M. Aung, Gabriela Rondón, Jeffrey J. Molldrem, Martin J. Korbling et al. · 2011 · Blood
51. Structural changes in the US economy: Is there a role for monetary policy?
    Fabio Canova, Luca Gambetti Z · 2008 · Journal of Economic Dynamics and Control
52. Similarity-based interference in sentence comprehension: Literature review and Bayesian meta-analysis
    Lena A. Jäger, Felix Engelmann, Shravan Vasishth · 2017 · Journal of Memory and Language
53. Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies
    Gary H. Glover, Bryon A. Mueller, Jessica A. Turner, Theo G.M. van Erp, Thomas T. Liu, Douglas N. Greve, James T. Voyvodic, Jerod M. Rasmussen, Gregory G. Brown, David B. Keator et al. · 2012 · Journal of Magnetic Resonance Imaging
54. Compressive Imaging Using Approximate Message Passing and a Markov-Tree Prior
    Subhojit Som, Philip Schniter · 2012 · IEEE Transactions on Signal Processing
55. A Full Scale Approximation of Covariance Functions for Large Spatial Data Sets
    Huiyan Sang, Jianhua Z. Huang · 2011 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
56. Bergmann's rule and climate change revisited: Disentangling environmental and genetic responses in a wild bird population
    Céline Teplitsky, James A. Mills, JUSSI S. ALHO, John W. Yarrall, Juha Merilä · 2008 · Proceedings of the National Academy of Sciences
57. Combining hydraulic knowledge and uncertain gaugings in the estimation of hydrometric rating curves: A Bayesian approach
    Jérôme Le Coz, Benjamin Renard, Laurent Bonnifait, Flora Branger, R. Le Boursicaud · 2013 · Journal of Hydrology
58. Machine learning for combustion
    Lei Zhou, Yuntong Song, Weiqi Ji, Haiqiao Wei · 2021 · Energy and AI
59. Application of the simple Bayesian classifier for the N2 (77 K) adsorption/desorption hysteresis loop recognition
    Maxim S. Mel’gunov · 2022 · Adsorption
60. Leveraging biological insight and environmental variation to improve phenotypic prediction: Integrating crop growth models (CGM) with whole genome prediction (WGP)
    Messina, C.D., Technow, F., Tang, T., Totir, R., Gho, C., Cooper, M. · 2018 · European Journal of Agronomy
61. Psychometric analysis of the Generalized Anxiety Disorder scale (GAD-7) in primary care using modern item response theory
    Jordan, Pascal, Shedden-Mora, Meike C., Löwe, Bernd · 2017 · PLOS ONE
62. Quantitative PCR for Detection and Enumeration of Genetic Markers of Bovine Fecal Pollution
    Orin C. Shanks, Emina Atikovic, A. Denene Blackwood, Jingrang Lu, Rachel T. Noble, Jorge W. Santo Domingo, Shawn Seifring, Mano Sivaganesan, Richard A. Haugland · 2007 · Applied and Environmental Microbiology
63. Prospects for Resolving the Hubble Constant Tension with Standard Sirens
    Stephen M. Feeney, Hiranya V. Peiris, Andrew R. Williamson, S. Nissanke, Daniel J. Mortlock, Justin Alsing, Daniel M. Scolnic · 2019 · Physical Review Letters
64. Hippo/Mst signalling couples metabolic state and immune function of CD8α+ dendritic cells
    Xingrong Du, Jing Wen, Yanyan Wang, Peer W. F. Karmaus, Alireza Khatamian, Haiyan Tan, Yuxin Li, Cliff S. Guy, Thanh-Long M. Nguyen, Yogesh Dhungana et al. · 2018 · Nature
65. Likelihood-Based Estimation of the Effective Population Size Using Temporal Changes in Allele Frequencies: A Genealogical Approach
    Pierre Berthier, Mark Beaumont, Jean‐Marie Cornuet, Gordon Luikart · 2002 · Genetics
66. Inversion of terrestrial ecosystem model parameter values against eddy covariance measurements by Monte Carlo sampling
    Wolfgang Knorr, Jens Kattge · 2005 · Global Change Biology
67. Parametric and Nonparametric Statistical Methods for Genomic Selection of Traits with Additive and Epistatic Genetic Architectures
    Réka Howard, Alicia L. Carriquiry, William Dale Beavis · 2014 · G3 Genes Genomes Genetics
68. Reduced Efficacy of Praziquantel Against Schistosoma mansoni Is Associated With Multiple Rounds of Mass Drug Administration
    Thomas Crellen, Martin Walker, Poppy H. L. Lamberton, Narcis B. Kabatereine, Edridah Muheki Tukahebwa, James Anthony Cotton, Joanne P. Webster · 2016 · Clinical Infectious Diseases
69. The impact of dose on parotid salivary recovery in head and neck cancer patients treated with radiation therapy
    Yun Li, Jeremy M. G. Taylor, Randall K. Ten Haken, Avraham Eisbruch · 2006 · International Journal of Radiation Oncology*Biology*Physics
70. Percentile Optimization for Markov Decision Processes with Parameter Uncertainty
    Erick Delage, Shie Mannor · 2009 · Operations Research
71. Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model
    Qingyuan Zhang, X XIAO, BOBBY H. BRASWELL, Ernst Linder, Frédéric Baret, B MOOREIII · 2005 · Remote Sensing of Environment
72. Bayesian inference in probabilistic risk assessment—The current state of the art
    Dana Kelly, Curtis Lee Smith · 2008 · Reliability Engineering & System Safety
73. The Effects of Monetary Policy on Stock Market Bubbles: Some Evidence
    Jordi Galí Y, Luca Gambetti Z · 2015 · American Economic Journal Macroeconomics
74. Learning with Submodular Functions: A Convex Optimization Perspective
    Francis Bach · 2013 · Foundations and Trends® in Machine Learning
75. Iterated learning: Intergenerational knowledge transmission reveals inductive biases
    Kalish, Michael L., Griffiths, Thomas L., Lewandowsky, Stephan · 2007 · Psychonomic Bulletin & Review
76. Conceptual model uncertainty in groundwater modeling: Combining generalized likelihood uncertainty estimation and Bayesian model averaging
    Rodrigo Rojas, Luc Feyen, Alain Dassargues · 2008 · Water Resources Research
77. STARD-BLCM: Standards for the Reporting of Diagnostic accuracy studies that use Bayesian Latent Class Models
    Polychronis Kostoulas, Søren Saxmose Nielsen, Adam J. Branscum, Wesley O. Johnson, Nandini Dendukuri, Navneet K. Dhand, Nils Toft, Ian Andrew Gardner · 2017 · Preventive Veterinary Medicine
78. Multiple Imputation: A Review of Practical and Theoretical Findings
    Jared S. Murray · 2018 · Statistical Science
79. Program evaluation as a decision problem
    Rajeev Dehejia · 2004 · Journal of Econometrics
80. The Handbook of Data Mining
    Nong Ye · 2003 · CERN Document Server (European Organization for Nuclear Research)
81. Two-Objective Design of Benchmark Problems of a Water Distribution System via MOEAs: Towards the Best-Known Approximation of the True Pareto Front
    Qi Wang, Michele Guidolin, Dragan A. Savic, Zoran S. Kapelan · 2014 · Journal of Water Resources Planning and Management
82. Design and analysis in task-based language assessment
    Robert J. Mislevy, Linda S. Steinberg, Russell G. Almond · 2002 · Language Testing
83. Maximum Likelihood, Profile Likelihood, and Penalized Likelihood: A Primer
    Stephen R. Cole, Haitao Chu, Sander Greenland · 2013 · American Journal of Epidemiology
84. A Survey of Machine Learning for Computer Architecture and Systems
    Nan Wu, Yuan Xie · 2022 · ACM Computing Surveys
85. Identifying polyglutamine protein species in situ that best predict neurodegeneration
    Jason M. L. Miller, Montserrat Arrasate, Elizabeth Brooks, Clare Peters Libeu, Justin A. Legleiter, Danny M. Hatters, Jessica Curtis, Kenneth Cheung, Preethi Krishnan, Siddhartha S. Mitra et al. · 2011 · Nature Chemical Biology
86. Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation
    Rafael Molina, Javier Mateos A, Aggelos K. Katsaggelos · 2006 · IEEE Transactions on Image Processing
87. Calibration and uncertainty analysis of the SWAT model using Genetic Algorithms and Bayesian Model Averaging
    Xuesong Zhang, Raghavan Srinivasan, David Dean Bosch · 2009 · Journal of Hydrology
88. Model checking in multiple imputation: an overview and case study
    Cattram Duong Nguyen, John B. Carlin, Katherine J. Lee · 2017 · Emerging Themes in Epidemiology
89. A TEX86 surface sediment database and extended Bayesian calibration
    Jessica E. Tierney, Martin P. Tingley · 2015 · Scientific Data
90. Dirichlet Reputation Systems
    Audun Jøsang, Jochen Haller · 2007 · International Conference on Availability, Reliability and Security (ARES)
91. Evolution of the hymenopteran megaradiation
    John M. Heraty, Fredrik Ronquist, James Michael Carpenter, David C. Hawks, Susanne Schulmeister, Ashley P. G. Dowling, Debra Murray, James B. Munro, Ward C. Wheeler, NATHAN M. SCHIFF et al. · 2011 · Molecular Phylogenetics and Evolution
92. How Many People Do You Know in Prison?
    Tian Zheng, Matthew Salganik, Andrew Gelman · 2006 · Journal of the American Statistical Association
93. Beam sampling for the infinite hidden Markov model
    Jurgen Van Gael, Yunus Saatçi, Yee Whye Teh, Zoubin Ghahramani A · 2008 · International Conference on Machine Learning
94. Consensus Bayesian assessment of protein molecular mass from solution X-ray scattering data
    Nelly R. Hajizadeh, Daniel Franke, Cy Michael Jeffries, Dmitri I. Svergun · 2018 · Scientific Reports
95. Bayesian parameter estimation in probabilistic risk assessment
    Nathan O. Siu, Dana Kelly · 1998 · Reliability Engineering & System Safety
96. Piecing together the past: statistical insights into paleoclimatic reconstructions
    Martin P. Tingley, Peter F. Craigmile, Murali Haran, Bo Li, Elizabeth Mannshardt, Bala Rajaratnam · 2012 · Quaternary Science Reviews
97. Exploratory Data Analysis for Complex Models
    Andrew Gelman · 2004 · Journal of Computational and Graphical Statistics
98. Child obesity associated with social disadvantage of children’s neighborhoods
    H. Mollie Grow, Andrea J. Cook, David E Arterburn, Brian E. Saelens, Adam Drewnowski, Paula Lozano · 2010 · Social Science & Medicine
99. The Posterior and the Prior in Bayesian Phylogenetics
    Michael E. Alfaro, Mark T. Holder · 2006 · Annual Review of Ecology Evolution and Systematics
100. Reliability engineering
     Markov Chain Monte Carlo · 2011