Stan : A Probabilistic Programming Language

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Items 101–200 of 1,020

1. The structure of cognition in 9 and 10 year-old children and associations with problem behaviors: Findings from the ABCD study’s baseline neurocognitive battery
   Thompson, Wesley K., Barch, Deanna M., Bjork, James M., Gonzalez, Raul, Nagel, Bonnie J., Nixon, Sara Jo, Luciana, Monica · 2019 · Developmental Cognitive Neuroscience
2. Designing stem-cell-based dopamine cell replacement trials for Parkinson’s disease
   Roger A. Barker · 2019 · Nature Medicine
3. exoplanet: Gradient-based probabilistic inference for exoplanet data other astronomical time series
   Daniel Foreman-Mackey, Rodrigo Luger, Eric Agol, Thomas Barclay, Luke Bouma, Timothy D. Brandt, Ian Czekala, Trevor J. David, Jiayin Dong, Emily A. Gilbert et al. · 2021 · The Journal of Open Source Software
4. User-friendly Bayesian regression modeling: A tutorial with rstanarm and shinystan
   Chelsea Muth, Zita Oravecz, Jonah Gabry · 2018 · The Quantitative Methods for Psychology
5. Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
   Du Phan, Neeraj Pradhan, Martin Jankowiak · 2019 · arXiv (Cornell University)
6. Direct Evidence of Adult Aedes albopictus Dispersal by Car
   R. Eritja, John R. B. Palmer, D. Roiz, I. Sanpera-Calbet, F. Bartumeus · 2017 · Scientific Reports
7. Life histories of myeloproliferative neoplasms inferred from phylogenies.
   Nicholas Williams, Joe Lee, Emily Mitchell, Luiza Moore, E. Joanna Baxter, James Hewinson, Kevin J. Dawson, Andrew H. Menzies, Anna L. Godfrey, Anthony Richard Green et al. · 2022 · RePEc: Research Papers in Economics
8. Gut microbiota and BMI throughout childhood: the role of firmicutes, bacteroidetes, and short-chain fatty acid producers
   Timothy A. Houtman, Henrik Andreas Eckermann, Hauke Smidt, Carolina de Weerth · 2022 · Scientific Reports
9. sdmTMB : An R Package for Fast, Flexible, and User-Friendly Generalized Linear Mixed Effects Models with Spatial and Spatiotemporal Random Fields
   Sean C. Anderson, Eric J. Ward, Philina A. English, Lewis A. K. Barnett, James T. Thorson · 2025 · Journal of Statistical Software
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. Modeling psychopathology: From data models to formal theories.
    Jonas M B Haslbeck, Oisín Ryan, Donald J. Robinaugh, Lourens Waldorp, Denny Borsboom · 2021 · Psychological Methods
12. Apc-mutant cells act as supercompetitors in intestinal tumour initiation
    van Neerven, Sanne M., de Groot, Nina E., Nijman, Lisanne E., Scicluna, Brendon P., van Driel, Milou S., Lecca, Maria C., Warmerdam, Daniël O., Kakkar, Vaishali, Moreno, Leandro F., Vieira Braga, Felipe A. et al. · 2021 · Nature
13. Structures of the σ2 receptor enable docking for bioactive ligand discovery
    Alon, Assaf, Lyu, Jiankun, Braz, Joao M., Tummino, Tia A., Craik, Veronica, O’Meara, Matthew J., Webb, Chase M., Radchenko, Dmytro S., Moroz, Yurii S., Huang, Xi-Ping et al. · 2021 · Nature
14. CRISPR Activation Screens Systematically Identify Factors that Drive Neuronal Fate and Reprogramming
    Yanxia Liu, Yu Chen, Timothy Daley, Fangyuan Wang, William Cao, Salil S. Bhate, Xueqiu Lin, Chris Still, Honglei Liu, Dehua Zhao et al. · 2018 · Cell stem cell
15. 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
16. Recent declines in salmon body size impact ecosystems and fisheries
    Krista B. Oke, Curry J. Cunningham, Peter A. H. Westley, Marissa L. Baskett, Stephanie Marie Carlson, S. Jeanette Clark, Andrew P. Hendry, Vadim A. Karatayev, N. W. Kendall, Jared Kibele et al. · 2020 · Nature Communications
17. Validating Bayesian Inference Algorithms with Simulation-Based Calibration
    Sean Talts, Michael Betancourt, Daniel Simpson, Aki Vehtari, Andrew Gelman · 2018 · arXiv (Cornell University)
18. The Blessings of Multiple Causes
    Zhaoran Wang, David M. Blei · 2019 · Journal of the American Statistical Association
19. 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
20. Genome-wide CRISPR Screens in T Helper Cells Reveal Pervasive Crosstalk between Activation and Differentiation
    Johan Henriksson, Xi Xian Chen, Tomás Gomes, Ubaid Ullah, Kerstin B. Meyer, Ricardo J. Miragaia, Graham Duddy, Jhuma Pramanik, Kosuke Yusa, Riitta Lahesmaa et al. · 2019 · Cell
21. A Future Percent-level Measurement of the Hubble Expansion at Redshift 0.8 with Advanced LIGO
    Will Meierjurgen Farr, M. Fishbach, Jiani Ye, DANIEL E. HOLZ · 2019 · The Astrophysical Journal Letters
22. Flynn effect and its reversal are both environmentally caused
    Bratsberg, Bernt, Rogeberg, Ole · 2018 · Proceedings of the National Academy of Sciences
23. Estimating the effects of non-pharmaceutical interventions on the number of new infections with COVID-19 during the first epidemic wave
    Nicolas Banholzer, Eva van Weenen, Adrian Lison, Alberto Cenedese, Arne Seeliger, Bernhard Kratzwald, Daniel Tschernutter, Joan Puig Salles, Pierluigi Bottrighi, Sonja Lehtinen et al. · 2021 · PLoS ONE
24. spOccupancy: An R package for single‐species, multi‐species, and integrated spatial occupancy models
    Jeffrey W. Doser, Andrew O. Finley, Marc Kéry, Elise F. Zipkin · 2022 · Methods in Ecology and Evolution
25. A reinforcement learning diffusion decision model for value-based decisions
    Laura Fontanesi, Sebastian Gluth, Mikhail S. Spektor, Jörg Rieskamp · 2019 · Psychonomic Bulletin & Review
26. The Carnegie Supernova Project: Absolute Calibration and the Hubble Constant
    C. R. Burns, E. Parent, Mark M. Phillips, Maximilian D. Stritzinger, K. Krisciunas, Nicholas B. Suntzeff, Eric Y. Hsiao, Carlos Contreras, J. Anais, Luis Boldt et al. · 2018 · The Astrophysical Journal
27. The Effects of Generative AI on Design Fixation and Divergent Thinking
    Wadinambiarachchi, Samangi, Kelly, Ryan M., Pareek, Saumya, Zhou, Qiushi, Velloso, Eduardo · 2024 · Proceedings of the CHI Conference on Human Factors in Computing Systems
28. Scientific Opinion on the state of the art of Toxicokinetic/Toxicodynamic (TKTD) effect models for regulatory risk assessment of pesticides for aquatic organisms
    EFSA Panel on Plant Protection Products and their Residues (PPR), Colin Ockleford, Paulien Adriaanse, Philippe J. Berny, T.C.M. Brock, Sabine Duquesne, Sandro Grilli, Antonio F. Hernández, Susanne Hougaard Bennekou, Michael Klein et al. · 2018 · EFSA Journal
29. Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds
    Robert Kubinec · 2022 · Political Analysis
30. Serotonin neurons modulate learning rate through uncertainty
    Grossman, Cooper D., Bari, Bilal A., Cohen, Jeremiah Y. · 2022 · Current Biology
31. Heavy quarkonium in extreme conditions
    Alexander Rothkopf · 2020 · Physics Reports
32. Multilevel Network Meta-Regression for Population-Adjusted Treatment Comparisons
    David Phillippo, Sofia Dias, Anthony E. Ades, Mark A. Belger, Alan J. M. Brnabic, Alexander Schacht, Daniel Saure, ZBIGNIEW A. KADZIOLA, Nicky J. Welton · 2020 · Journal of the Royal Statistical Society Series A (Statistics in Society)
33. Frequentist Consistency of Variational Bayes
    Zhaoran Wang, David M. Blei · 2018 · Journal of the American Statistical Association
34. The unmarked R package: Twelve years of advances in occurrence and abundance modelling in ecology
    Kenneth F. Kellner, Adam D. Smith, Jeffrey Andrew Royle, Marc Kéry, Jerrold L. Belant, Richard B. Chandler · 2023 · Methods in Ecology and Evolution
35. Microbial communities as dynamical systems
    Didier Gonze, Katharine Z. Coyte, Leo Lahti, Karoline Faust · 2018 · Current Opinion in Microbiology
36. Globally consistent climate sensitivity of natural disturbances across boreal and temperate forest ecosystems
    Rupert Seidl, Juha Honkaniemi, Tuomas Aakala, А. А. Алейников, Per Angelstam, Mathieu Bouchard, Yan Boulanger, Philip J. Burton, Louis De Grandpré, Sylvie Gauthier et al. · 2020 · Ecography
37. Planning with Trust for Human-Robot Collaboration
    Chen, Min, Nikolaidis, Stefanos, Soh, Harold, Hsu, David, Srinivasa, Siddhartha · 2018 · Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
38. The rise and rise of mitochondrial DNA mutations
    Conor Lawless, Laura C. Greaves, Amy Katherine Reeve, Douglass M. Turnbull, Amy E. Vincent · 2020 · Open Biology
39. Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices
    Lei Zhang, Lukas Lengersdorff, Nace Mikuš, Jan P. Gläscher, Claus Lamm · 2020 · Social Cognitive and Affective Neuroscience
40. Genomic Profiling of Childhood Tumor Patient-Derived Xenograft Models to Enable Rational Clinical Trial Design
    Jo Lynne Rokita, Komal S. Rathi, Maria Cardenas, Kristen A. Upton, Joy C. Jayaseelan, Katherine L. Cross, Jacob Pfeil, Laura E. Egolf, Gregory P. Way, Alvin Farrel et al. · 2019 · Cell Reports
41. Artificial intelligence for modelling infectious disease epidemics
    Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Y. Chang, Spyros Lytras, Mark P. Khurana, Samantha Vanderslott, Sumali Bajaj, Neil Scheidwasser, Jacob Liam Curran-Sebastian, Elizaveta Semenova et al. · 2025 · Nature
42. Quantifying the impact of immune history and variant on SARS-CoV-2 viral kinetics and infection rebound: A retrospective cohort study
    James A. Hay, Stephen M. Kissler, Joseph R. Fauver, Christina DeFilippo Mack, Caroline Gar-Ling Tai, Radhika M Samant, Sarah Connolly, Deverick John Anderson, Gaurav Khullar, Matthew J. MacKay et al. · 2022 · eLife
43. Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors
    Cristina Vaghi, Anne Rodallec, Raphaëlle Fanciullino, Joseph Ciccolini, Jonathan Paul Mochel, Michalis Mastri, Clair Poignard, John M.L. Ebos, Sébastien Benzekry · 2020 · PLoS Computational Biology
44. Adapting fit indices for Bayesian structural equation modeling: Comparison to maximum likelihood.
    Mauricio Garnier‐Villarreal, Terrence D. Jorgensen · 2019 · Psychological Methods
45. Global burden of latent multidrug-resistant tuberculosis: trends and estimates based on mathematical modelling
    Gwenan M. Knight, Christopher Finn McQuaid, Peter J. Dodd, Rein M G J Houben · 2019 · The Lancet Infectious Diseases
46. Social Influence in Adolescent Decision-Making: A Formal Framework
    Simon Ciranka, Wouter van den Bos · 2019 · Frontiers in Psychology
47. Copula-based reliability analysis of degrading systems with dependent failures
    Guanqi Fang, Rong Pan, Yili Hong · 2019 · Reliability Engineering & System Safety
48. Flood trends in Europe: are changes in small and big floods different?
    Miriam Bertola, Alberto Viglione, David Lun · 2020 · Hydrology and earth system sciences
49. Robustness of statistical methods when measure is affected by ceiling and/or floor effect
    Matúš Šimkovic, Birgit Träuble · 2019 · PLoS ONE
50. Clustered versus catastrophic global vertebrate declines
    Brian Leung, Anna L. Hargreaves, Dan A. Greenberg, Brian J. McGill, María Dornelas, Robin Freeman · 2020 · Nature
51. mcp: An R Package for Regression With Multiple Change Points
    Jonas Kristoffer Lindeløv · 2020
52. On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression
    Joyee Ghosh, Ying-Bo Li, R. Mitra · 2015 · Bayesian Analysis
53. Moralization in social networks and the emergence of violence during protests
    Mooijman, Marlon, Hoover, Joe, Lin, Ying, Ji, Heng, Dehghani, Morteza · 2018 · Nature Human Behaviour
54. Modelling microbiome recovery after antibiotics using a stability landscape framework
    Liam P. Shaw, Hassan Bassam, Chris P. Barnes, Ann Sarah Walker, Nigel Jonathan Klein, François Balloux · 2019 · The ISME Journal
55. A brain network supporting social influences in human decision-making
    Lei Zhang, Jan P. Gläscher · 2020 · Science Advances
56. Modelling monotonic effects of ordinal predictors in Bayesian regression models
    Bürkner, Paul‐Christian, Charpentier, Emmanuel · 2020 · British Journal of Mathematical and Statistical Psychology
57. Neural mediators of changes of mind about perceptual decisions
    Fleming, Stephen M., van der Putten, Elisabeth J., Daw, Nathaniel D. · 2018 · Nature Neuroscience
58. Bias from self selection and loss to follow-up in prospective cohort studies
    Guido Biele, Kristin Gustavson, Nikolai Olavi Czajkowski, Roy M. Nilsen, Ted Reichborn‐Kjennerud, Per Minor Magnus, Camilla Stoltenberg, Heidi Aase · 2019 · European Journal of Epidemiology
59. Hierarchical Bayesian continuous time dynamic modeling.
    Charles C. Driver, M. Voelkle · 2018 · Psychological methods
60. Biomarkers of severity and threshold of allergic reactions during oral peanut challenges
    Alexandra F. Santos, George Du Toit, Colin O’Rourke, Natalia Becares, Natália C. Couto-Francisco, Suzana Radulović, Ekaterina Khaleva, Monica Basting, Kristina M. Harris, DAVID L. LARSON et al. · 2020 · Journal of Allergy and Clinical Immunology
61. Longitudinal brain imaging in preclinical Alzheimer disease: impact of APOE ε4 genotype
    Mishra, Shruti, Blazey, Tyler M, Holtzman, David M, Cruchaga, Carlos, Su, Yi, Morris, John C, Benzinger, Tammie L S, Gordon, Brian A · 2018 · Brain
62. Age-related differences in recall and recognition: a meta-analysis
    Rhodes, Stephen, Greene, Nathaniel R., Naveh-Benjamin, Moshe · 2019 · Psychonomic Bulletin & Review
63. Behavioural and neural evidence for self-reinforcing expectancy effects on pain
    Jepma, Marieke, Koban, Leonie, van Doorn, Johnny, Jones, Matt, Wager, Tor D. · 2018 · Nature Human Behaviour
64. Global patterns and drivers of tree diversity integrated across a continuum of spatial grains
    Petr Keil, Jonathan M. Chase · 2019 · Nature Ecology & Evolution
65. Heavy quarkonium in extreme conditions
    Alexander Rothkopf · 2020 · NORA - Norwegian Open Research Archives
66. The problem of infra-marginality in outcome tests for discrimination
    Simoiu, Camelia, Corbett-Davies, Sam, Goel, Sharad · 2017 · The Annals of Applied Statistics
67. How much baseline correction do we need in ERP research? Extended GLM model can replace baseline correction while lifting its limits
    Phillip M. Alday · 2019 · Psychophysiology
68. Machine Learning and Psychological Research: The Unexplored Effect of Measurement
    Ross Jacobucci, Kevin J. Grimm · 2020 · Perspectives on Psychological Science
69. Humans primarily use model-based inference in the two-stage task
    Feher da Silva, Carolina, Hare, Todd A. · 2020 · Nature Human Behaviour
70. Antibody titers against SARS-CoV-2 decline, but do not disappear for several months
    S. Yamayoshi, A. Yasuhara, M. Ito, O. Akasaka, M. Nakamura, I. Nakachi, M. Koga, K. Mitamura, K. Yagi, K. Maeda et al. · 2021 · EClinicalMedicine
71. There Is No Evidence That Associations Between Adolescents’ Digital Technology Engagement and Mental Health Problems Have Increased
    Vuorre, Matti, Orben, Amy, Przybylski, Andrew K. · 2021 · Clinical Psychological Science
72. BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
    Nikolaus Umlauf, Nadja Klein, Achim Zeileis · 2017 · Journal of Computational and Graphical Statistics
73. Trends in Europe storm surge extremes match the rate of sea-level rise
    Francisco Mir Calafat, Thomas Wahl, Michael Getachew Tadesse, Sarah Sparrow · 2022 · Nature
74. Soil properties explain tree growth and mortality, but not biomass, across phosphorus-depleted tropical forests
    Jennifer L. Soong, Ivan A. Janssens, Oriol Grau, Olga Margalef, Clément Stahl, Leandro Van Langenhove, Ifigenia Urbina, Jérôme Chave, Aurélie Dourdain, Bruno Ferry et al. · 2020 · Scientific Reports
75. Data-driven models of dominantly-inherited Alzheimer’s disease progression
    2018
76. A Web-Based System for Bayesian Benchmark Dose Estimation
    Kan Shao, Andrew J. Shapiro · 2018 · Environmental Health Perspectives
77. Acclimation to Fluctuating Light Impacts the Rapidity of Response and Diurnal Rhythm of Stomatal Conductance
    Jack S. A. Matthews, Silvère Vialet‐Chabrand, Tracy Lawson · 2018 · PLANT PHYSIOLOGY
78. Accelerating MCMC algorithms
    Christian P. Robert, V́ıctor Elvira, Nick Tawn, Changye Wu · 2018 · Wiley Interdisciplinary Reviews Computational Statistics
79. Trustworthy AI
    Jeannette M. Wing · 2021 · Communications of the ACM
80. Trust-Aware Decision Making for Human-Robot Collaboration
    Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S Srinivasa · 2020 · ACM Transactions on Human-Robot Interaction
81. Bayesian Item Response Modeling in R with brms and Stan
    Paul‐Christian Bürkner · 2019 · arXiv (Cornell University)
82. RR Lyrae stars as standard candles in the Gaia Data Release 2 Era
    T. Muraveva, H. E. Delgado, G. Clementini, Luis Manuel Sarro, A. Garofalo · 2018 · Monthly Notices of the Royal Astronomical Society
83. State-level tracking of COVID-19 in the United States
    H. Juliette T. Unwin, Swapnil Mishra, Valerie C. Bradley, Axel Gandy, Thomas A. Mellan, Helen Coupland, Jonathan S. Ish-Horowicz, Michaela Vollmer, Charles Whittaker, Sarah L. Filippi et al. · 2020 · Nature Communications
84. Tests of general relativity with GWTC-3
    R. Abbott, H. Abe, F.Acernese, K. Ackley, N. Adhikari, R. X. Adhikari, V. K. Adkins, V. B. Adya, C. Affeldt, D. Agarwal et al. · 2025 · Physical review. D/Physical review. D.
85. Bayesian Analysis of Tests with Unknown Specificity and Sensitivity
    2020
86. Should I use fixed effects or random effects when I have fewer than five levels of a grouping factor in a mixed-effects model?
    Dylan G. E. Gomes · 2022 · PeerJ
87. Who lies? A large-scale reanalysis linking basic personality traits to unethical decision making
    Daniel W. Heck, Isabel Thielmann, Morten Moshagen, Benjamin E. Hilbig · 2018 · Judgment and Decision Making
88. Measurement error and person-specific reliability in multilevel autoregressive modeling.
    Noémi Katalin Schuurman, Ellen L. Hamaker · 2018 · Psychological Methods
89. Interleukin-22 regulates neutrophil recruitment in ulcerative colitis and is associated with resistance to ustekinumab therapy
    P. Pavlidis, Anastasia Tsakmaki, Eirini Pantazi, Katherine Li, D. Cozzetto, Jonathan Digby- Bell, Feifei Yang, Jonathan W. Lo, E. Alberts, Ana Caroline Costa Sa et al. · 2022 · Nature Communications
90. Resistance to type 1 interferons is a major determinant of HIV-1 transmission fitness
    Shilpa S. Iyer, Frédéric Bibollet‐Ruche, Scott A. Sherrill-Mix, Gerald H. Learn, Lindsey J. Plenderleith, Andrew G. Smith, Hannah J. Barbian, Ronnie M. Russell, Marcos V. P. Gondim, Catherine Y. Bahari et al. · 2017 · Proceedings of the National Academy of Sciences
91. Determining the neutrino mass with cyclotron radiation emission spectroscopy—Project 8
    A. Ashtari Esfahani, David M. Asner, S. Böser et al. · 2017 · Journal of Physics G Nuclear and Particle Physics
92. Estimating sensitivity of the Kato-Katz technique for the diagnosis of Schistosoma mansoni and hookworm in relation to infection intensity
    Oliver Bärenbold, Giovanna Raso, Jean T. Coulibaly, Eliezer Kouakou N'Goran, Jürg Utzinger, Penelope Vounatsou · 2017 · PLoS neglected tropical diseases
93. Quantifying the relationship between genetic diversity and population size suggests natural selection cannot explain Lewontin’s Paradox
    Vince Buffalo · 2021 · eLife
94. Pseudotime estimation: deconfounding single cell time series
    2016
95. Voice patterns in schizophrenia: A systematic review and Bayesian meta-analysis
    Alberto Parola, Arndis Simonsen, Vibeke Bliksted, Riccardo Fusaroli · 2019 · Schizophrenia Research
96. Estimating the effectiveness of routine asymptomatic PCR testing at different frequencies for the detection of SARS-CoV-2 infections
    The SAFER Investigators and Field Study Team, Joel Hellewell, CMMID COVID-19 working group, Timothy Russell, Rupert C. L. Beale, Gavin P. Kelly, Catherine F. Houlihan, Eleni Nastouli, Adam J. Kucharski · 2021 · BMC Medicine
97. Black-swan events in animal populations
    Sean C. Anderson, Trevor A. Branch, Andrew B. Cooper, Nicholas K. Dulvy · 2017 · Proceedings of the National Academy of Sciences
98. The effect of gender on operative autonomy in general surgery residents
    Shari L. Meyerson, David D. Odell, Joseph Bertram Zwischenberger, Mary C. Schuller, Reed G. Williams, Jordan David Bohnen, Gary L. Dunnington, Laura J. Torbeck, John Thomas Mullen, Samuel P. Mandell et al. · 2019 · Surgery
99. Environmental Exposure Mixtures: Questions and Methods to Address Them
    Ghassan Badri Hamra, Jessie Poulin Buckley · 2018 · Current Epidemiology Reports
100. Determining organ weight toxicity with Bayesian causal models: Improving on the analysis of relative organ weights
     Stanley E. Lazic, Elizaveta Semenova, Dominic P. Williams · 2020 · Scientific Reports