Bayesian Data Analysis

Cited by (1,161)

Items 901–1,000 of 1,161

1. 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
2. The Posterior and the Prior in Bayesian Phylogenetics
   Michael E. Alfaro, Mark T. Holder · 2006 · Annual Review of Ecology Evolution and Systematics
3. Reliability engineering
   Markov Chain Monte Carlo · 2011
4. A comparison of techniques for the estimation of model prediction uncertainty
   Martin Omlin, Peter Reichert · 1999 · Ecological Modelling
5. Bayesian Methods for Data Analysis
   Robert E. Weiss · 2010 · American Journal of Ophthalmology
6. Bayesian models: the structure of the world, uncertainty, behavior, and the brain
   Iris Vilares, Konrad Paul Kording · 2011 · Annals of the New York Academy of Sciences
7. Bayesian estimates of parameter variability in the k–ε turbulence model
   Wouter N. Edeling, Paola Cinnella, Richard P. Dwight, H. Bijl · 2013 · Journal of Computational Physics
8. CHRM2 gene predisposes to alcohol dependence, drug dependence and affective disorders: results from an extended case–control structured association study
   Xingguang Luο, Henry R. Kranzler, Lingjun Zuo, Shuang Wang, Hilary P. Blumberg, Joel E. Gelernter · 2005 · Human Molecular Genetics
9. Human impact erodes chimpanzee behavioral diversity
   Hjalmar S. Kühl, Christophe Boesch, Lars Kulik, Fabian Haas, Mimi Arandjelovic, Paula Dieguez, Gaëlle Bocksberger, Mary Brooke McElreath, Anthony Agbor, Samuel Angedakin et al. · 2019 · Science
10. How to make ecological models useful for environmental management
    Nele Schuwirth, Florian Borgwardt, Sami Domisch, Martin Friedrichs‐Manthey, Mira Kattwinkel, David Kneis, Mathias Kuemmerlen, Simone D. Langhans, Javier Martínez‐López, Peter Vermeiren · 2019 · Ecological Modelling
11. Understanding performance measures of reservoirs
    Thomas A. McMahon, Adebayo J. Adeloye, Senlin Zhou · 2005 · Journal of Hydrology
12. Impact of heat on mortality in 15 European cities: attributable deaths under different weather scenarios
    Michela Baccini, Tom Kosatsky, Antonis Analitis, H Ross Anderson, Mariangela D’Ovidio, Bettina Menne, Paola Michelozzi, Annibale Biggeri, the PHEWE Collaborative Group · 2009 · Journal of Epidemiology & Community Health
13. Bayesian post-processor and other enhancements of Subset Simulation for estimating failure probabilities in high dimensions
    Konstantin M. Zuev, James L. Beck, Siu‐Kui Au, Lambros S. Katafygiotis · 2011 · Computers & Structures
14. BUGS in Bayesian stock assessments
    Renate Meyer, Russell Brian Millar · 1999 · Canadian Journal of Fisheries and Aquatic Sciences
15. Probabilistic eruption forecasting at short and long time scales
    Warner Marzocchi, Mark Bebbington · 2012 · Bulletin of Volcanology
16. The rational exploration of microbial diversity
    Christopher Quince, Thomas Peter Curtis, William T. Sloan · 2008 · The ISME Journal
17. Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models
    William J. Browne, David Draper · 2000 · Computational Statistics
18. Parameter estimation and uncertainty analysis for a watershed model
    Mark Gallagher, John Doherty · 2006 · Environmental Modelling & Software
19. Posterior Predictive Assessment of Item Response Theory Models
    Sandip Sinharay, Matthew Johnson, Hal S. Stern · 2006 · Applied Psychological Measurement
20. Dynamical Blueprints for Galaxies
    Lawrence M. Widrow, Brent Pym, John Dubinski · 2008 · The Astrophysical Journal
21. Background Subtraction with DirichletProcess Mixture Models
    Tom S. F. Haines, Tao Xiang · 2014 · IEEE Transactions on Pattern Analysis and Machine Intelligence
22. Sequential Monte Carlo Methods to Train Neural Network Models
    Jordan Freitas, Mahesan Niranjan, Andrew H. Gee, Arnaud Doucet B · 2000 · Neural Computation
23. Markov chain Monte Carlo: Can we trust the third significant figure
    James M. Flegal, Murali Haran, Galin L. Jones · 2007
24. A Nonparametric Bayesian Approach to Acoustic Model Discovery
    Chia-ying Lee, James Robert Glass · 2012
25. TOWARD CHARACTERIZATION OF THE TYPE IIP SUPERNOVA PROGENITOR POPULATION: A STATISTICAL SAMPLE OF LIGHT CURVES FROM Pan-STARRS1
    Nathan Sanders, Alicia Soderberg, Suvi Gezari, Michael Betancourt, R. Chornock, Edo Berger, R. J. Foley, Peter Challis, M. R. Drout, R. Kirshner et al. · 2015 · The Astrophysical Journal
26. Scalable recommendation with hierarchical Poisson factorization
    Prem Gopalan, Jake M. Hofman, David M. Blei · 2015
27. Fast likelihood-free cosmology with neural density estimators and active learning
    J. Alsing, T. Charnock, S. Feeney, Benjamin Dan Wandelt · 2019 · Monthly notices of the Royal Astronomical Society
28. A bootstrap method for estimating uncertainty of water quality trends
    R. Hirsch, S. Archfield, L. D. De Cicco · 2015 · Environmental Modelling & Software
29. JAGS: Just Another Gibbs Sampler
    Martyn Plummer · 2012 · Astrophysics Source Code Library
30. A Bayesian analysis of human decision-making on bandit problems
    Mark Steyvers, Michael David Lee, Eric‐Jan Wagenmakers · 2009 · Journal of Mathematical Psychology
31. On the Analysis of Fraction Subtraction Data: The DINA Model, Classification, Latent Class Sizes, and the Q-Matrix
    Lawrence T. DeCarlo · 2010 · Applied Psychological Measurement
32. Does declining carbon‐use efficiency explain thermal acclimation of soil respiration with warming?
    Colin L Tucker, Jennifer Bell, Elise G Pendall, Kiona Ogle · 2012 · Global Change Biology
33. Forecasting with Bayesian Vector Autoregression
    Sune Karlsson · 2013 · Handbook of economic forecasting
34. A survey of Monte Carlo methods for parameter estimation
    David Luengo, Luca Martino, Mónica F. Bugallo, V́ıctor Elvira, Simo Särkkä · 2020 · EURASIP Journal on Advances in Signal Processing
35. Gibbs Sampling
    Alan E. Gelfand · 2000 · Journal of the American Statistical Association
36. Extending the methods used to screen the WHO drug safety database towards analysis of complex associations and improved accuracy for rare events
    G. Niklas Norén, Andrew Bate, Roland Orre, Ivor Ralph Edwards · 2005 · Statistics in Medicine
37. Monte Carlo Sensitivity Analysis and Bayesian Analysis of Smoking as an Unmeasured Confounder in a Study of Silica and Lung Cancer
    Kyle Steenland · 2004 · American Journal of Epidemiology
38. Stochastic microstructure characterization and reconstruction via supervised learning
    Ramin Bostanabad, Anh Tuan Bui, Wei Xie, Daniel W. Apley, Wei Ren Chen · 2015 · Acta Materialia
39. Atmospheric Correction of Satellite Ocean-Color Imagery During the PACE Era
    Robert Frouin, Bryan A. Franz, Amir I. Ibrahim, Kirk Knobelspiesse, Ziauddin Ahmad, Brian Cairns, Jacek Chowdhary, Heidi M. Dierssen, Jing Tan, Оleg Dubovik et al. · 2019 · Frontiers in Earth Science
40. Dynamic Patterns of Human Rights Practices
    Keith Schnakenberg, Christopher J. Fariss · 2013 · Political Science Research and Methods
41. Application of artificial intelligence technology in oncology: towards the establishment of precision medicine
    Hamamoto, Ryuji, Suvarna, Kruthi, Yamada, Masayoshi, Kobayashi, Kazuma, Shinkai, Norio, Miyake, Mototaka, Takahashi, Masamichi, Jinnai, Shunichi, Shimoyama, Ryo, Sakai, Akira et al. · 2020 · Cancers
42. Decision Behaviour, Analysis and Support
    Simon French, John Maule, K N Papamichail · 2009 · Cambridge University Press eBooks
43. spBayes : An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models
    Andrew O. Finley, Sudipto Banerjee, Bradley P. Carlin · 2007 · Journal of Statistical Software
44. Comparison of different uncertainty techniques in urban stormwater quantity and quality modelling
    Cintia Brum Siqueira Dotto, Giorgio Mannina, Manfred Kleidorfer, Luca Vezzaro, Malte Henrichs, David McCarthy, Gabriele Freni, Wolfgang A. Rauch, Ana Deletić · 2012 · Water Research
45. Inequality Constrained Analysis of Variance: A Bayesian Approach.
    Irene G. Klugkist, Olav Laudy, Herbert Hoijtink · 2005 · Psychological Methods
46. Functional traits explain light and size response of growth rates in tropical tree species
    Nadja Rüger, Christian Wirth, Stuart Joseph Wright, Richard Condit · 2012 · Ecology
47. Prediction of enteric methane emissions from cattle
    Luis Eduardo Moraes, Anders Bjerring Strathe, James G. Fadel, D. P. Casper, Ermias Kebreab · 2013 · Global Change Biology
48. Causal Heterogeneity in Comparative Research: A Bayesian Hierarchical Modelling Approach
    Bruce Western · 1998 · American Journal of Political Science
49. A Comparison of Methods for Streamflow Uncertainty Estimation
    Julie E. Kiang, Christopher L. Gazoorian, Hilary McMillan, Gemma Coxon, Jérôme Le Coz, Ida K. Westerberg, Arnaud Belleville, Damien Sevrez, Anna E. Sikorska‐Senoner, Asgeir Petersen‐Øverleir et al. · 2018 · Water Resources Research
50. A software framework for construction of process-based stochastic spatio-temporal models and data assimilation
    Derek Karssenberg, Oliver Schmitz, Peter Salamon, Kor de Jong, Marc F. P. Bierkens · 2009 · Environmental Modelling & Software
51. Analysis of large truck crash severity using heteroskedastic ordered probit models
    Jason Lemp, Kara Maria Kockelman, Avinash Unnikrishnan · 2010 · Accident Analysis & Prevention
52. The Blessings of Multiple Causes
    Zhaoran Wang, David M. Blei · 2019 · Journal of the American Statistical Association
53. Customer Satisfaction for Financial Services: The Role of Products, Services, and Information Technology
    Mayuram S. Krishnan, Venkatram Ramaswamy, Mary C. Meyer, Paul Damien · 1999 · Management Science
54. Hamiltonian Monte Carlo for Hierarchical Models
    Michael Betancourt, Mark Girolami · 2015 · Chapman & Hall/CRC eBooks
55. Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with “Censoring” Due to Death
    Donald B. Rubin · 2006 · Statistical Science
56. Variational Bayesian inference for fMRI time series
    W.D. Penny, Stefan J. Kiebel, Karl John Friston · 2003 · NeuroImage
57. Assessing single-cell transcriptomic variability through density-preserving data visualization
    Ashwin Narayan, Bonnie Berger, Hyunghoon Cho · 2021 · Nature Biotechnology
58. Bayesian Inference of Spatial Organizations of Chromosomes
    Ming Hu, Ke Deng, Zhaohui Steve Qin, Jesse R. Dixon, Siddarth Selvaraj, Jennifer Fang, Bing Ren, Jun S. Liu · 2013 · PLoS Computational Biology
59. Improved seismic fragility modeling from empirical data
    Dániel Straub, Armen Der Kiureghian · 2007 · Structural Safety
60. Evidence for Use of Coronary Stents: A Hierarchical Bayesian Meta-Analysis
    J. Brophy, P. Belisle, L. Joseph · 2003 · Annals of Internal Medicine
61. Bayesian Updating of Soil Parameters for Braced Excavations Using Field Observations
    C. Hsein Juang, Zhe Luo, Sez Atamturktur, Hongwei Huang · 2012 · Journal of Geotechnical and Geoenvironmental Engineering
62. Interval estimation by simulation as an alternative to and extension of confidence intervals.
    S. Greenland · 2004 · International Journal of Epidemiology
63. Learning from crowdsourced labeled data: a survey
    Zhang, Jing, Wu, Xindong, Sheng, Victor S. · 2016 · Artificial Intelligence Review
64. Introduction to Bayesian Inference for Psychology
    Alexander J. Etz, Joachim Vandekerckhove · 2017 · Psychonomic Bulletin & Review
65. The statistical significance filter leads to overoptimistic expectations of replicability
    Shravan Vasishth, Daniela Mertzen, Lena A. Jäger, Andrew Gelman · 2018 · Journal of Memory and Language
66. Back analysis of slope failure with Markov chain Monte Carlo simulation
    L.L. Zhang, Jie Zhang, Limin M. Zhang, Wilson H. Tang · 2010 · Computers and Geotechnics
67. Hierarchical modeling for extreme values observed over space and time
    Huiyan Sang, Alan E. Gelfand · 2008 · Environmental and Ecological Statistics
68. Robustness of the Markov-Chain Model for Cyber-Attack Detection
    N. Ye, Yan Zhang, Connie M. Borror · 2004 · IEEE Transactions on Reliability
69. Respondent‐driven sampling as Markov chain Monte Carlo
    Sharad Goel, Matthew Salganik · 2009 · Statistics in Medicine
70. Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery
    Nicolas Dobigeon, Jean‐Yves Tourneret, Chein-I Chang · 2008 · IEEE Transactions on Signal Processing
71. Estimating the Diets of Animals Using Stable Isotopes and a Comprehensive Bayesian Mixing Model
    John B. Hopkins, Jake M. Ferguson · 2012 · PLoS ONE
72. Modeling dependencies in protein-DNA binding sites
    Yoseph Barash, Gal Elidan, Nir Friedman, Tommy Kaplan · 2003 · Research in Computational Molecular Biology
73. TYPE Ia SUPERNOVA LIGHT CURVE INFERENCE: HIERARCHICAL MODELS IN THE OPTICAL AND NEAR-INFRARED
    Kaisey S. Mandel, Gautham Narayan, Robert P. Kirshner · 2011 · The Astrophysical Journal
74. Random diffusion models for animal movement
    Paul G. Blackwell · 1997 · Ecological Modelling
75. Pupil-Linked Arousal Determines Variability in Perceptual Decision Making
    Peter R. Murphy, Joachim Vandekerckhove, Sander Nieuwenhuis · 2014 · PLoS Computational Biology
76. Missing Data in Clinical Studies: Issues and Methods
    Joseph G. Ibrahim, Haitao Chu, Ming‐Hui Chen · 2012 · Journal of Clinical Oncology
77. Landscape Restoration: Moving from Generalities to Methodologies
    Karen D. Holl, Elizabeth E. Crone, Cheryl B. Schultz · 2003 · BioScience
78. Multiple Imputation in Multivariate Problems When the Imputation and Analysis Models Differ
    Joseph L. Schafer · 2003 · Statistica Neerlandica
79. A Bayesian test for periodic signals in red noise
    S. Vaughan · 2009 · Monthly Notices of the Royal Astronomical Society
80. FECUNDITY OF TREES AND THE COLONIZATION–COMPETITION HYPOTHESIS
    James S. Clark, Shannon L. LaDeau, Inés Ibáñez · 2004 · Ecological Monographs
81. Phase I Analysis for Monitoring Nonlinear Profiles in Manufacturing Processes
    Yu Cheng Ding, Li Zeng, Shiyu Zhou · 2006 · Journal of Quality Technology
82. Automatic misconfiguration troubleshooting with peerpressure
    Helen J. Wang, John C. Platt, Yu Chen, Ruyun Zhang, Yi‐Min Wang · 2004
83. Parameter estimation of the generalized Pareto distribution—Part I
    P. de Zea Bermudez, Samuel Kotz · 2009 · Journal of Statistical Planning and Inference
84. Terrestrial, benthic, and pelagic resource use in lakes: results from a three-isotope Bayesian mixing model
    Christopher T. Solomon, Stephen R. Carpenter, Murray K. Clayton, Jonathan J. Cole, James J. Coloso, Michael L. Pace, M. Jake Vander Zanden, Brian C. Weidel · 2010 · Ecology
85. Bayesian perspectives for epidemiological research. II. Regression analysis
    Sander Greenland · 2007 · International Journal of Epidemiology
86. Overcoming the Data Crisis in Biodiversity Conservation
    Holly K. Kindsvater, Nicholas K. Dulvy, Catharine Horswill, Maria José Juan‐Jordá, Marc Mangel, Jason Matthiopoulos · 2018 · Trends in Ecology & Evolution
87. Bayesian Econometrics
    Dale J. Poirier · 2018 · The New Palgrave Dictionary of Economics
88. Bifurcation in brain dynamics reveals a signature of conscious processing independent of report
    Sergent, Claire, Corazzol, Martina, Labouret, Ghislaine, Stockart, François, Wexler, Mark, King, Jean-Rémi, Meyniel, Florent, Pressnitzer, Daniel · 2021 · Nature Communications
89. Statistical properties of four effect-size measures for mediation models
    Miočević, Milica, O’Rourke, Holly P., MacKinnon, David P., Brown, Hendricks C. · 2018 · Behavior Research Methods
90. Generalized full-information item bifactor analysis.
    Li Cai, Ji Seung Yang, Mark H Hansen · 2011 · Psychological Methods
91. CHANGING THE GAP DYNAMICS PARADIGM: VEGETATIVE REGENERATION CONTROL ON FOREST RESPONSE TO DISTURBANCE
    Michael C. Dietze, James S. Clark · 2008 · Ecological Monographs
92. A fully conditional specification approach to multilevel imputation of categorical and continuous variables.
    Craig K. Enders, Brian T Keller, Roy Levy · 2017 · Psychological Methods
93. Bayesian Analysis of Hot-Jupiter Radius Anomalies: Evidence for Ohmic Dissipation?
    Daniel Thorngren, Jonathan J. Fortney · 2018 · The Astronomical Journal
94. Efficient coding of subjective value
    Rafael Polanía, Michael Woodford, Christian Carl Ruff · 2018 · Nature Neuroscience
95. Complex long-term biodiversity change among invertebrates, bryophytes and lichens
    Charlotte L. Outhwaite, Richard D. Gregory, Richard E. Chandler, Ben Collen, Nick J. B. Isaac · 2020 · Nature Ecology & Evolution
96. Entrepreneurs as Scientists: A Pragmatist Approach to Producing Value Out of Uncertainty
    Thomas Markus Zellweger, Todd R. Zenger · 2021 · Academy of Management Review
97. Latitudinal divergence of common frog ( Rana temporaria ) life history traits by natural selection: evidence from a comparison of molecular and quantitative genetic data
    Jukka U. Palo, Robert Brian O’Hara, Ane T. Laugen, Anssi Laurila, Craig Robert Primmer, Juha Merilä · 2003 · Molecular Ecology
98. To Center or Not to Center: That Is Not the Question—An Ancillarity–Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Efficiency
    Yaming Yu, Xiao‐Li Meng · 2011 · Journal of Computational and Graphical Statistics
99. A Spatiotemporal Analysis of the Global Diffusion of ISO 9000 and ISO 14000 Certification
    Paulo Albuquerque, Bart J. Bronnenberg, Charles J. Corbett · 2007 · Management Science
100. The Bioarchaeology of Children
     Mary Lewis · 2006 · Cambridge University Press eBooks