Stan : A Probabilistic Programming Language

Cited by (1,020)

Items 301–400 of 1,020

1. Dynamic leaf energy balance: deriving stomatal conductance from thermal imaging in a dynamic environment
   Silvère Vialet‐Chabrand, Tracy Lawson · 2019 · Journal of Experimental Botany
2. Systematic Inequalities in Language Technology Performance across the World’s Languages
   Damián Ezequiel Blasi, Antonios Anastasopoulos, Graham Neubig · 2022 · Proceedings of the conference - Association for Computational Linguistics. Meeting
3. Single and Multiscale Models of Process Spatial Heterogeneity
   Levi John Wolf, Taylor M. Oshan, Alexander Stewart Fotheringham · 2017 · Geographical Analysis
4. The Value of Empirical Data for Estimating the Parameters of a Sociohydrological Flood Risk Model
   Marlies H. Barendrecht, Alberto Viglione, Heidi Kreibich, Bruno Merz, Sergiy Vorogushyn, Günter Blöschl · 2019 · Water Resources Research
5. General Bayesian updating and the loss-likelihood bootstrap
   Simon Lyddon, Chris C. Holmes, Stephen Graham Walker · 2019 · Biometrika
6. Human endogenous retroviruses form a reservoir of T cell targets in hematological cancers
   Sunil Kumar Saini, Andreas Due Ørskov, Anne-Mette Bjerregaard, Ashwin Unnikrishnan, Staffan Holmberg-Thydén, Annie Borch, Kathrine Valentini Jensen, Govardhan Anande, Amalie Kai Bentzen, Andrea Marion Marquard et al. · 2020 · Nature Communications
7. brms: Bayesian Regression Models using 'Stan'
   Paul‐Christian Bürkner · 2015
8. Roads to ruin: conservation threats to a sentinel species across an urban gradient
   Blake E. Feist, Eric R. Buhle, David H. Baldwin, Julann A. Spromberg, Steven E. Damm, Jay W. Davis, Nathaniel L. Scholz · 2017 · Ecological Applications
9. Examining driver injury severity in intersection-related crashes using cluster analysis and hierarchical Bayesian models
   Zhenning Li, Cong Chen, Yusheng Ci, Guohui Zhang, Qiong Wu, Xiaoyue Cathy Liu, Sean Qian · 2018 · Accident Analysis & Prevention
10. Formal Specification for Deep Neural Networks
    Sanjit Arunkumar Seshia, Ankush Desai, Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Sumukh Shivakumar, Marcell Vazquez-Chanlatte, Xiangyu Yue · 2018 · Lecture notes in computer science
11. Circulating immune cell phenotype dynamics reflect the strength of tumor–immune cell interactions in patients during immunotherapy
    Jason I. Griffiths, Pierre Wallet, Lance T. Pflieger, David Dean Stenehjem, Xuan Liu, Patrick A. Cosgrove, Neena A. Leggett, Jasmine A. McQuerry, Gajendra Shrestha, Maura Maria Rossetti et al. · 2020 · Proceedings of the National Academy of Sciences
12. Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing
    Sean C. Anderson, Andrew M. Edwards, Madi Yerlanov, Nicola Mulberry, Jessica E. Stockdale, Sarafa Adewale Iyaniwura, Rebeca Cardim Falcão, Michael Christopher Otterstatter, Michael A. Irvine, Naveed Zafar Janjua et al. · 2020 · PLoS Computational Biology
13. Modulation of plant root growth by nitrogen source‐defined regulation of polar auxin transport
    Krisztina Ötvös, Marco Marconi, Andrea Vega, José Antonio O’Brien, Alexander Johnson, Rashed Abualia, Livio Antonielli, Juan Carlos Montesinos, Yuzhou Zhang, Shutang Tan et al. · 2021 · The EMBO Journal
14. Signed and unsigned reward prediction errors dynamically enhance learning and memory
    Nina Rouhani, Yael Niv · 2021 · eLife
15. Rat eradication restores nutrient subsidies from seabirds across terrestrial and marine ecosystems
    Cassandra E. Benkwitt, Rachel L. Gunn, Matthieu Le Corre, Peter Carr, Nicholas A. J. Graham · 2021 · Current Biology
16. Sociogeographic correlates of typological variation in northwestern Bantu gender systems
    Annemarie Verkerk, Francesca Di Garbo · 2022 · Language Dynamics and Change
17. Bayesian statistics and modelling
    Rens van de Schoot, Sarah A. Depaoli, Andrew Gelman, Ruth King, Bianca M. R. Kramer, Kaspar Märtens, Mahlet G. Tadesse, Marina Vannucci, Joukje E. Willemsen, Christopher Yau · 2021 · Nature Reviews Methods Primers
18. Migratory strategy drives species-level variation in bird sensitivity to vegetation green-up
    Casey Youngflesh, Jacob B. Socolar, Bruna Do AMARAL, Ali Arab, Robert Guralnick, Allen H. Hurlbert, Raphael LaFrance, Stephen J. Mayor, David A W Miller, Morgan W. Tingley · 2021 · Nature Ecology & Evolution
19. Seventy years of tunas, billfishes, and sharks as sentinels of global ocean health
    Maria José Juan‐Jordá, Hilário Murua, Haritz Arrizabalaga, Gorka Merino, Nathan Pacoureau, Nicholas K. Dulvy · 2022 · Science
20. Perils and pitfalls of mixed-effects regression models in biology
    Matthew J. Silk, Xavier A. Harrison, David James Hodgson · 2020 · PeerJ
21. Reconstructing parton distribution functions from Ioffe time data: from Bayesian methods to Neural Networks
    Joseph Karpie, Kostas Orginos, Alexander Rothkopf · 2019 · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
22. Environmental DNA provides quantitative estimates of a threatened salmon species
    Andrew Olaf Shelton, Ryan P. Kelly, James L. O’Donnell · 2019 · Biological Conservation
23. Anosognosia for hemiplegia as a tripartite disconnection syndrome
    Valentina Pacella, Chris Foulon, Paul Mark Jenkinson, Michele Scandola, Sara Bertagnoli, Renato Avesani, Aikaterini Fotopoulou, Valentina Moro, Michel Thiebaut de Schotten · 2019 · eLife
24. Trends in NBA and Euroleague basketball: Analysis and comparison of statistical data from 2000 to 2017
    Radivoj Mandić, Saša Jakovljević, Frane Erčulj · 2019 · PLoS ONE
25. Recovering Within-Person Dynamics from Psychological Time Series
    Jonas M B Haslbeck, Oisín Ryan · 2021 · Multivariate Behavioral Research
26. sigfit: flexible Bayesian inference of mutational signatures
    Kevin C. Gori, Adrian Baez‐Ortega · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
27. Ways of applying artificial intelligence in software engineering
    ROBERT H. FELDT, Francisco Gomes de Oliveira Neto, Richard Torkar · 2018 · International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE)
28. The hydrologist’s guide to Bayesian model selection, averaging and combination
    Marvin Höge, Anneli Guthke, Wolfgang Nowak · 2019 · Journal of Hydrology
29. Weakened magnetic braking supported by asteroseismic rotation rates of Kepler dwarfs
    Oliver J. Hall, G. R. Davies, Jennifer L. van Saders, Martin Bo Nielsen, Mikkel N. Lund, W. J. Chaplin, Rafael A. García, Louis Amard, Angela A. Breimann, Saniya Khan et al. · 2021 · Nature Astronomy
30. How pupil responses track value-based decision-making during and after reinforcement learning
    Joanne C. Van Slooten, Sara Jahfari, Tomas H. J. Knapen, Jan Theeuwes · 2018 · PLoS Computational Biology
31. Latent variable modeling for the microbiome
    Kris Sankaran, Susan Holmes · 2018 · Biostatistics
32. Psychometric properties of neural responses to monetary and social rewards across development
    Paige Ethridge, Anna Weinberg · 2018 · International Journal of Psychophysiology
33. Sex-specific genetic effects across biomarkers
    Emily Flynn, Yosuke Tanigawa, Fátima Rodríguez, Russ Biagio Altman, Nasa Sinnott-Armstrong, Manuel A. Rivas · 2020 · European Journal of Human Genetics
34. Reconciling the Size‐Dependence of Marine Particle Sinking Speed
    B. B. Cael, Emma L. Cavan, Gregory L. Britten · 2021 · Geophysical Research Letters
35. Kinematics of Antlia 2 and Crater 2 from the Southern Stellar Stream Spectroscopic Survey (S 5)
    Alexander P. Ji, Sergey E. Koposov, Ting S. Li, Denis Erkal, Andrew B. Pace, Joshua D. Simon, Vasily A Belokurov, Lara R. Cullinane, G. S. Da Costa, Kyler W. Kuehn et al. · 2021 · The Astrophysical Journal
36. Local biodiversity change reflects interactions among changing abundance, evenness, and richness
    Shane A. Blowes, Gergana N. Daskalova, María Dornelas, Thore Engel, Nicholas J. Gotelli, Anne E. Magurran, Inês Santos Martins, Brian J. McGill, Daniel J. McGlinn, Alban Sagouis et al. · 2022 · Ecology
37. Modeling flexible behavior in childhood to adulthood shows age-dependent learning mechanisms and less optimal learning in autism in each age group
    Daisy Crawley, Lei Zhang, Emily J. H. Jones, Jumana Ahmad, Bethany F. M. Oakley, Antonia San José Cáceres, Tony Charman, Jan K. Buitelaar, Declan Murphy, Christopher Hughes Chatham et al. · 2020 · PLoS Biology
38. Cross-scale interaction of host tree size and climatic water deficit governs bark beetle-induced tree mortality
    Michael J. Koontz, Andrew M. Latimer, Leif A. Mortenson, Christopher J. Fettig, Malcolm P. North · 2021 · Nature Communications
39. Fast bacterial growth reduces antibiotic accumulation and efficacy
    Urszula Łapińska, Margaritis Voliotis, Ka Kiu Lee, Adrian Campey, M. Rhia L. Stone, Brandon Tuck, Wanida Phetsang, Bing Zhang, Krasimira T. Tsaneva-Atanasova, Mark A. T. Blaskovich et al. · 2022 · eLife
40. Dealing with Separation in Logistic Regression Models
    Carlisle Rainey · 2016 · Political Analysis
41. When Are LIGO/Virgo’s Big Black Hole Mergers?
    Maya Fishbach, Zoheyr Doctor, Thomas Callister, Bruce Edelman, Jiani Ye, R. C. Essick, Will M. Farr, Ben Farr, DANIEL E. HOLZ · 2021 · The Astrophysical Journal
42. Key drivers of ecosystem recovery after disturbance in a neotropical forest
    Bruno Hérault, Camille Piponiot · 2018 · Forest Ecosystems
43. No-U-turn sampling for fast Bayesian inference in ADMB and TMB: Introducing the adnuts and tmbstan R packages
    Cole C. Monnahan, Kasper Kristensen · 2018 · PLoS ONE
44. Picky Partners: The Pairing of Component Masses in Binary Black Hole Mergers
    Maya Fishbach, DANIEL E. HOLZ · 2020 · The Astrophysical Journal Letters
45. Computational Models of Retrieval Processes in Sentence Processing
    Shravan Vasishth, Bruno Nicenboim, Felix Engelmann, Frank Burchert · 2019 · Trends in Cognitive Sciences
46. Long‐term forest monitoring reveals constant mortality rise in European forests
    Jan‐Peter George, Paul‐Christian Bürkner, Tanja Sanders, Mathias Neumann, Carmelo Cammalleri, J. Vogt, Mait Lang · 2022 · Plant Biology
47. A mobile EEG study on the psychophysiological effects of walking and crowding in indoor and outdoor urban environments
    Panagiotis Mavros, Michel J. Wälti, Mohsen Nazemi, Crystal Huiyi Ong, Christoph Hölscher · 2022 · Scientific Reports
48. Using the Stan Program for Bayesian Item Response Theory
    Yong Luo, Hong Jiao · 2017 · Educational and Psychological Measurement
49. Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers
    René Niehus, Pablo M. De Salazar, Aimee R. Taylor, Marc Lipsitch · 2020 · medRxiv
50. Can timber provision from Amazonian production forests be sustainable?
    Camille Piponiot, Edna Rödig, Francis Edward Putz, Ervan Rutishauser, Plinio L. J. Sist, Nataly L. Ascarrunz, Lilian Blanc, Géraldine Derroire, Laurent Descroix, Marcelino Carneiro Guedes et al. · 2019 · Environmental Research Letters
51. Probabilistic reanalysis of storm surge extremes in Europe
    Francisco Mir Calafat, Marta Marcos · 2020 · Proceedings of the National Academy of Sciences
52. Energetics and fear of humans constrain the spatial ecology of pumas
    Barry A. Nickel, Justin P. Suraci, Anna C. Nisi · 2021 · Proceedings of the National Academy of Sciences
53. Age patterns of HIV incidence in eastern and southern Africa: a modelling analysis of observational population-based cohort studies
    Kathryn Risher, Anne Cori, Georges Reniers et al. · 2021 · The Lancet HIV
54. Data-centric Engineering: integrating simulation, machine learning and statistics. Challenges and opportunities
    Indranil Pan, Lachlan R. Mason, Omar K. Matar · 2021 · Chemical Engineering Science
55. Reaction times can reflect habits rather than computations
    Wong, Aaron L, Goldsmith, Jeff, Forrence, Alexander D, Haith, Adrian M, Krakauer, John W · 2017 · eLife
56. Geometric integrators and the Hamiltonian Monte Carlo method
    Nawaf M. Bou-Rabee, Jesús María Sanz-Serna · 2018 · Acta Numerica
57. Proposing behavior-oriented strategies for earthquake emergency evacuation: A behavioral data analysis from New Zealand, Italy and Japan
    Gabriele Bernardini, Ruggiero Lovreglio, Enrico Quagliarini · 2019 · Safety Science
58. Bayesian regression modeling (for factorial designs): A tutorial
    Michael Franke, Timo Benjamin Roettger · 2019
59. joineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes
    Graeme L. Hickey, Pete Philipson, Andrea Jorgensen · 2018 · BMC Medical Research Methodology
60. An Embodied Perspective as a Victim of Sexual Harassment in Virtual Reality Reduces Action Conformity in a Later Milgram Obedience Scenario
    Solène Neyret, Xavi Navarro, Alejandro Beacco, Ramon Oliva, Pierre Bourdin, Jose Valenzuela, Itxaso Barberia, Mel Slater · 2020 · Scientific Reports
61. Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study
    David Phillippo, Sofia Dias, Anthony E. Ades, Nicky J. Welton · 2020 · Statistics in Medicine
62. Predicting Early-Childhood Gender Transitions
    James Richard Rae, Selin Gülgöz, Lily Durwood, Madeleine DeMeules, R. Sandlin Lowe, Gabrielle Lindquist, Kristina R. Olson · 2019 · Psychological Science
63. An engineered human Fc domain that behaves like a pH-toggle switch for ultra-long circulation persistence
    Chang‐Han Lee, Tae Hyun Kang, Ophélie Godon, Makiko Watanabe, George Delidakis, Caitlin M. Gillis, Delphine Sterlin, David Hardy, Michel Cogné, Lynn E. Macdonald et al. · 2019 · Nature Communications
64. Towards robust autonomous impedance spectroscopy analysis: A calibrated hierarchical Bayesian approach for electrochemical impedance spectroscopy (EIS) inversion
    Jake Huang, Meagan C. Papac, Ryan O’Hayre · 2020 · Electrochimica Acta
65. Relativistic redshift of the star S0-2 orbiting the Galactic Center supermassive black hole
    Do, Tuan, Hees, Aurelien, Ghez, Andrea, Gregory David Martinez, Chu, Devin S, Jia, Siyao, Sakai, Shoko, Lu, Jessica R, Gautam, Abhimat K, O'Neil, Kelly Kosmo et al. · 2019 · eScholarship (California Digital Library)
66. Nonlinear Mixed‐Effects Model Development and Simulation Using nlmixr and Related R Open‐Source Packages
    Matthew L. Fidler, Justin J. Wilkins, Richard Hooijmaijers, Teun M. Post, Rik C. Schoemaker, Mirjam Nadine Trame, Yuan Xiong, Wenping Wang · 2019 · CPT Pharmacometrics & Systems Pharmacology
67. Enhancing scientific discoveries in molecular biology with deep generative models
    Lopez, Romain, Gayoso, Adam, Yosef, Nir · 2020 · Molecular Systems Biology
68. Scaling exact inference for discrete probabilistic programs
    Steven Holtzen, Guy Van den Broeck, Todd D. Millstein · 2020 · Proceedings of the ACM on Programming Languages
69. Widespread Biases in Ecological and Evolutionary Studies
    Zachary W. Culumber, Jaime M. Anaya‐Rojas, William W. Booker, Alexandra P. Hooks, Elizabeth C. Lange, Benjamin D. Pluer, Natali Ramírez-Bullón, Joseph Travis · 2019 · BioScience
70. Changes in climate drive recent monarch butterfly dynamics
    Erin R. Zylstra, Leslie Ries, Naresh Neupane, Sarah P. Saunders, M. Isabel Ramírez, Eduardo Rendón-Salinas, Karen S. Oberhauser, Matthew T. Farr, Elise F. Zipkin · 2021 · Nature Ecology & Evolution
71. Identification of a Rhythmic Firing Pattern in the Enteric Nervous System That Generates Rhythmic Electrical Activity in Smooth Muscle
    Nick J. Spencer, Timothy James Hibberd, Lee Travis et al. · 2018 · Journal of Neuroscience
72. Mixed Effects Models are Sometimes Terrible
    Christopher D. Eager, Joseph Roy · 2017 · arXiv (Cornell University)
73. Health status after invasive or conservative care in coronary and advanced kidney disease
    Spertus, John A., Jones, Philip G., Maron, David J., Mark, Daniel B., O’Brien, Sean M., Fleg, Jerome L., Reynolds, Harmony R., Stone, Gregg W., Sidhu, Mandeep S., Chaitman, Bernard R. et al. · 2020 · New England Journal of Medicine
74. Metapopulation dynamics in a changing climate: Increasing spatial synchrony in weather conditions drives metapopulation synchrony of a butterfly inhabiting a fragmented landscape
    Aapo Kahilainen, Saskya van Nouhuys, Torsti Schulz, Marjo Saastamoinen · 2018 · Global Change Biology
75. Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima
    Maxwell B. Joseph, Matthew W. Rossi, Nathan P. Mietkiewicz, Adam L. Mahood, Megan E. Cattau, Lise Ann St. Denis, R. Chelsea Nagy, Virginia Iglesias, John T. Abatzoglou, Jennifer K. Balch · 2019 · Ecological Applications
76. Studying strong phase transitions in neutron stars with gravitational waves
    Katerina Chatziioannou, Sophia Han · 2020 · Physical review. D/Physical review. D.
77. Heightened resistance to host type 1 interferons characterizes HIV-1 at transmission and after antiretroviral therapy interruption
    Marcos V. P. Gondim, Scott A. Sherrill-Mix, Frédéric Bibollet‐Ruche, Ronnie M. Russell, Stephanie Trimboli, Andrew G. Smith, Yingying Li, Weimin Liu, Alexa N. Avitto, Julia C. DeVoto et al. · 2021 · Science Translational Medicine
78. Abiotic conditions shape spatial and temporal morphological variation in North American birds
    Casey Youngflesh, James F. Saracco, Rodney B. Siegel, Morgan W. Tingley · 2022 · Nature Ecology & Evolution
79. Moving Beyond ERP Components: A Selective Review of Approaches to Integrate EEG and Behavior
    David A. Bridwell, James F. Cavanagh, Anne Gabrielle Eva Collins, Michael D. Nunez, Ramesh Srinivasan, Sebastian Stober, Vince D. Calhoun · 2018 · Frontiers in Human Neuroscience
80. On the Statistical and Practical Limitations of Thurstonian IRT Models
    Paul‐Christian Bürkner, Niklas Schulte, Heinz Holling · 2019 · Educational and Psychological Measurement
81. The Protective Role of Connectedness on Depression and Suicidal Ideation Among Bully Victimized Youth
    Alejandra Arango, Yasmin Cole-Lewis, Rebecca G. Lindsay, Carlos E. Yegüez, Michael J Clark, Cheryl A. King · 2018 · Journal of Clinical Child & Adolescent Psychology
82. Comparing Bayesian Models of Annotation
    Silviu Paun, Bob Carpenter, Jon Chamberlain, Dirk Hovy, Udo Kruschwitz, Massimo Poesio · 2018 · Transactions of the Association for Computational Linguistics
83. Interference patterns in subject-verb agreement and reflexives revisited: A large-sample study
    Jäger, Lena A., Mertzen, Daniela, Van Dyke, Julie A., Vasishth, Shravan · 2020 · Journal of Memory and Language
84. Four experiments on the relational dynamics and prosocial consequences of gratitude
    Jo-Ann C. Tsang, Stephen R. Martin · 2017 · The Journal of Positive Psychology
85. Biologging reveals individual variation in behavioural predictability in the wild
    Anne G. Hertel, Raphaël Royauté, Andreas Zedrosser, Thomas Mueller · 2020 · Journal of Animal Ecology
86. Bayesian Estimation of Age-Specific Mortality and Life Expectancy for Small Areas With Defective Vital Records
    Carl P. Schmertmann, Marcos Roberto Gonzaga · 2018 · Demography
87. Dissecting “Peer Presence” and “Decisions” to Deepen Understanding of Peer Influence on Adolescent Risky Choice
    Leah H. Somerville, Nadia Haddara, Stephanie F. Sasse, Alea C. Skwara, Joseph M. Moran, Bernd Figner · 2018 · Child Development
88. Genetic regulation of gene expression and splicing during a 10-year period of human aging
    Brunilda Balliu, Matthew G. Durrant, Olivia M. de Goede, Nathan S. Abell, Xin Li, Boxiang Liu, Michael J. Gloudemans, Naomi L. Cook, Kevin S. Smith, David A. Knowles et al. · 2019 · Genome biology
89. A hierarchical Bayesian SED model for Type Ia supernovae in the optical to near-infrared
    Kaisey S. Mandel, Stephen Thorp, Gautham Narayan, Andrew S. Friedman, Arturo Avelino · 2021 · Monthly Notices of the Royal Astronomical Society
90. On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior
    Juho Piironen, Aki Vehtari · 2016 · arXiv (Cornell University)
91. The day-of-the-week effect on Bitcoin return and volatility
    Donglian Ma, Hisashi Tanizaki · 2019 · Research in International Business and Finance
92. Idiosyncratic neural coding and neuromodulation of olfactory individuality in Drosophila
    Kyle S. Honegger, Matthew A.-Y. Smith, Matthew A. Churgin, Glenn C Turner, Benjamin L. de Bivort · 2019 · Proceedings of the National Academy of Sciences
93. Self-Experimentation for Behavior Change
    Jisoo Lee, Erin Walker, Winslow Burleson, Matthew Kay, Matthew Paul Buman, Eric B. Hekler · 2017 · CHI Conference on Human Factors in Computing Systems
94. Macroalgal feedbacks and substrate properties maintain a coral reef regime shift
    Kerryn A. Johns, Michael J. Emslie, Andrew Scott Hoey · 2018 · Ecosphere
95. Performance of Hamiltonian Monte Carlo and No-U-Turn Sampler for estimating genetic parameters and breeding values
    Motohide Nishio, Aisaku Arakawa · 2019 · Genetics Selection Evolution
96. Detecting flaky tests in probabilistic and machine learning applications
    Saikat Dutta, August Shi, Rutvik Choudhary, Zhekun Zhang, Aryaman Jain, Saša Misailovíc · 2020 · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)
97. Conserving herbivorous and predatory insects in urban green spaces
    Luis Mata, Caragh G. Threlfall, Nicholas S. G. Williams, Amy K. Hahs, MALLIK B. MALIPATIL, Nigel E. Stork, Stephen J. Livesley · 2017 · Scientific Reports
98. Extended fisheries recovery timelines in a changing environment
    Gregory L. Britten, Michael Dowd, Lisa Kanary, Boris Worm · 2017 · Nature Communications
99. Intranasal Oxytocin May Improve High-Level Social Cognition in Schizophrenia, But Not Social Cognition or Neurocognition in General: A Multilevel Bayesian Meta-analysis
    Paul‐Christian Bürkner, Donald Ray Williams, Trenton C. Simmons, Josh D. Woolley · 2017 · Schizophrenia Bulletin
100. Hierarchical Test of General Relativity with Gravitational Waves
     M. Isi, Katerina Chatziioannou, Will Meierjurgen Farr · 2019 · Physical Review Letters