The Effects of Sampling Frequency and Questionnaire Length on Perceived Burden, Compliance, and Careless Responding in Experience Sampling Data in a Student Population by Eisele, Gudrun, Vachon, Hugo, Lafit, Ginette, Kuppens, Peter, Houben, Marlies, Myin-Germeys, Inez, Viechtbauer, Wolfgang

Diagnostics for respondent-driven sampling by Gile, Krista J., Johnston, Lisa G., Salganik, Matthew J.

Purposeful Sampling: Advantages and Pitfalls by Stratton, Samuel J.

Active learning for regression using greedy sampling by Wu, Dongrui, Lin, Chin-Teng, Huang, Jian

Continuous multiple importance sampling by West, Rex, Georgiev, Iliyan, Gruson, Adrien, Hachisuka, Toshiya

Generalized resampled importance sampling: foundations of ReSTIR by Lin, Daqi, Kettunen, Markus, Bitterli, Benedikt, Pantaleoni, Jacopo, Yuksel, Cem, Wyman, Chris

Deep learning the slow modes for rare events sampling by Bonati, Luigi, Piccini, GiovanniMaria, Parrinello, Michele

A simple introduction to Markov Chain Monte–Carlo sampling by van Ravenzwaaij, Don, Cassey, Pete, Brown, Scott D.

Optimisation of sampling parameters for standardised exhaled breath sampling by Doran, Sophie L F, Romano, Andrea, Hanna, George B

Boson Sampling on a Photonic Chip by Spring, Justin B., Metcalf, Benjamin J., Humphreys, Peter C., Kolthammer, W. Steven, Jin, Xian-Min, Barbieri, Marco, Datta, Animesh, Thomas-Peter, Nicholas, Langford, Nathan K., Kundys, Dmytro, Gates, James C., Smith, Brian J., Smith, Peter G. R., Walmsley, Ian A.

Weighted minimizer sampling improves long read mapping by Jain, Chirag, Rhie, Arang, Zhang, Haowen, Chu, Claudia, Walenz, Brian P, Koren, Sergey, Phillippy, Adam M

COMMENT: ON RESPONDENT-DRIVEN SAMPLING AND SNOWBALL SAMPLING IN HARD-TO-REACH POPULATIONS AND SNOWBALL SAMPLING NOT IN HARD-TO-REACH POPULATIONS by Goodman, Leo A.

Fighting sampling bias: A framework for training and evaluating credit scoring models by Kozodoi, Nikita, Lessmann, Stefan, Alamgir, Morteza, Moreira-Matias, Luis, Papakonstantinou, Konstantinos

Data-Driven Collective Variables for Enhanced Sampling by Bonati, Luigi, Rizzi, Valerio, Parrinello, Michele

Dense sampling of bird diversity increases power of comparative genomics by Duke University Medical Center, Loiselle, Bette, Howard Hughes Medical Institute, Lovette, Irby, Witt, Christopher, Chen, Wanjun, Ketterson, Ellen, Brumfield, Robb, Schlinger, Barney, Haussler, David, University of California [Santa Cruz] (UC Santa Cruz), University of California (UC), Petersen, Bent, Friesen, Vicki, Chen, Nancy, Dacosta, Jeffrey, Natural History Museum of Denmark, Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Christidis, Les, Fuchs, Jérôme, Visser, Carina, Battley, Phil, Sigeman, Hanna, Howard, Jason Travis, Claramunt, Santiago, Burt, David, Milá, Borja, Zhejiang University School of Medicine [China], Aleixo, Alexandre, Gemmell, Neil, González-Solís, Jacob, Hosner, Peter, Museum of Natural Science, Louisiana State University [BatonRouge] (LSU), Ribeiro, Ângela, Friis, Guillermo, Krone, Oliver, Corvelo, André, Blake, John, Franke, Andre, Ryder, Oliver, Cloutier, Alison, Rahbek, Carsten, Chen, Guangji, Li, Qiye, Pacheco, George, Liedvogel, Miriam, Urrutia, Araxi, Sicheritz-Ponten, Thomas, Robertson, Bruce, Shakya, Subir, Hauber, Mark, Cracraft, Joel, Zhang, Guojie, Bowman, Reed, United States Department of Health & Human Services, National Institutes of Health (NIH) - USA, NIH National Heart Lung & Blood Institute (NHLBI) (U01 HL137183), Clark, Andrew, Prosdocimi, Francisco, Keller, Lukas, Gilbert, M. Thomas P, Paten, Benedict, Frandsen, Paul, Lima, Nicholas Costa Barroso, Cowen, Saul, Sackton, Timothy, Universität Wien = University of Vienna, Rozas, Julio, Feng, Shaohong, Zhejiang University [Hangzhou, China], Song, Gang, University of Copenhagen = Københavns Universitet (UCPH), AIMST University, Bunce, Michael, Vignal, Alain, Deng, Yuan, Sinding, Mikkel-Holger, Fudickar, Adam, Jamieson, Ian, Riutort, Marta, Fjeldså, Jon, Balakrishnan, Christopher, Carling, Matthew, Soares, André, Andreu-Sánchez, Sergio, da Fonseca, Rute, Eckhart, Leopold, Wirthlin, Morgan, Fuxjager, Matthew, University of Chinese Academy of Sciences [Beijing] (UCAS), Chinese Academy of Sciences [Beijing] (CAS), Jarvis, Erich, Louder, Matthew, Houde, Peter, Mello, Claudio, Njoroge, Peter, Parody-Merino, Ángela, Kunming Institute of Zoology (KIZ), Chinese Academy of Sciences [Beijing] (CAS), Puetz, Lara, Tigano, Anna, Vasconcelos, Ana Tereza Ribeiro, Fitzpatrick, John, Dussex, Nicolas, Meng, Guanliang, van Der Sluis, Rencia

On sampling discretization in L2 by Limonova, I., Temlyakov, V.

Parton distributions need representative sampling by Courtoy, Aurore, Huston, Joey, Nadolsky, Pavel, Xie, Keping, Yan, Mengshi, Yuan, C.-P.

A simulative comparison of respondent driven sampling with incentivized snowball sampling – The “strudel effect” by Gyarmathy, V. Anna, Johnston, Lisa G., Caplinskiene, Irma, Caplinskas, Saulius, Latkin, Carl A.

Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models by Sheikholeslami, Razi, Razavi, Saman

Sliced optimal transport sampling by Paulin, Lois, Bonneel, Nicolas, Coeurjolly, David, Iehl, Jean-Claude, Webanck, Antoine, Desbrun, Mathieu, Ostromoukhov, Victor