The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective by Kruschke, John K., Liddell, Torrin M.

Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning by Bonett, Douglas G., Wright, Thomas A.

Confidence intervals for low dimensional parameters in high dimensional linear models by Zhang, Cun‐Hui, Zhang, Stephanie S

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests by Wager, Stefan, Athey, Susan

Causal inference by using invariant prediction: identification and confidence intervals by Peters, Jonas, Bühlmann, Peter, Meinshausen, Nicolai

ROBUST NONPARAMETRIC CONFIDENCE INTERVALS FOR REGRESSION-DISCONTINUITY DESIGNS by Calonico, Sebastian, Cattaneo, Matias D., Titiunik, Rocio

Bayesian data analysis for newcomers by Kruschke, John K., Liddell, Torrin M.

Few-Shot Learning approach for plant disease classification using images taken in the field by Argüeso, David, Picon, Artzai, Irusta, Unai, Medela, Alfonso, San-Emeterio, Miguel G, Bereciartua, Arantza, Alvarez-Gila, Aitor

Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression by Deng, Zhongwei, Hu, Xiaosong, Lin, Xianke, Che, Yunhong, Xu, Le, Guo, Wenchao

Model averaging in ecology: a review of Bayesian, information-theoretic, and tactical approaches for predictive inference by Reineking, Björn, Matechou, E, Lahoz Monfort, J.J, Schroder, B, WRIGHT STATE UNIVERSITY DEPARTMENT OF BIOLOGICAL SCIENCES DAYTON USA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Swiss Ornithological Institute, UNIVERSITY OF FREIBURG BIOMETRY AND ENVIRONMENTAL SYSTEM ANALYSIS FREIBURG DEU, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Laboratoire d'Ecologie Alpine (LECA), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Hartig, F, Ciuti, S, Smithsonian Conservation Biology Institute, Barton, K, Laboratoire des EcoSystèmes et des Sociétés en Montagne (UR LESSEM), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Observatoire des Sciences de l'Univers de Grenoble (Fédération OSUG), UNIVERSITY OF KENT SCHOOL OF MATHEMATICS STATISTICS AND ACTUARIAL SCIENCE CANTERBURY GBR, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Pollock, L.J, Dormann, C.F, Thuiller, W, Bahn, V, UNIVERSITY OF YORK DEPARTMENT OF BIOLOGY YORK GBR, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Elith, J, Wintle, B.A, Guelat, J, Roberts, D.R, UNIVERSITY OF MELBOURNE SCHOOL OF BIOSCIENCES MELBOURNE AUS, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Calabrese, J.M, Gerstner, K, Warton, D.I, Beale, C.M, Wüest, R.O, POLISH ACADEMY OF SCIENCES INSTITUTE OF NATURE CONSERVATION KRAKOW POL, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), TECHNISCHE UNIVERSIT, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Guillera Arroita, G, Wood, S.N

Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland, Sander, Senn, Stephen J., Rothman, Kenneth J., Carlin, John B., Poole, Charles, Goodman, Steven N., Altman, Douglas G.

Ultraprocessed food and chronic noncommunicable diseases: A systematic review and meta‐analysis of 43 observational studies by Lane, Melissa M., Davis, Jessica A., Beattie, Sally, Gómez‐Donoso, Clara, Loughman, Amy, O'Neil, Adrienne, Jacka, Felice, Berk, Michael, Page, Richard, Marx, Wolfgang, Rocks, Tetyana

Quantifying ecological risks of aquatic micro- and nanoplastic by Besseling, Ellen, Redondo-Hasselerharm, Paula, Foekema, Edwin M., Koelmans, Albert A.

Protective effect of COVID-19 vaccination against long COVID syndrome: A systematic review and meta-analysis by Watanabe, Atsuyuki, Iwagami, Masao, Yasuhara, Jun, Takagi, Hisato, Kuno, Toshiki

On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference by Calonico, Sebastian, Cattaneo, Matias D., Farrell, Max H.

Rarefaction and extrapolation with Hill numbers: a framework for sampling and estimation in species diversity studies by Chao, Anne, Gotelli, Nicholas J., Hsieh, T. C., Sander, Elizabeth L., Ma, K. H., Colwell, Robert K., Ellison, Aaron M.

Theoretical guarantees for approximate sampling from smooth and log-concave densities by Dalalyan, Arnak S.

Confidence interval construction for the difference of two binomial parameters by Andersson, Per Gösta

ON ASYMPTOTICALLY OPTIMAL CONFIDENCE REGIONS AND TESTS FOR HIGH-DIMENSIONAL MODELS by van de Geer, Sara, Bühlmann, Peter, Ritov, Ya'acov, Dezeure, Ruben

Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach by Ma, Yuchi, Zhang, Zhou, Kang, Yanghui, Özdoğan, Mutlu