Zobrazeno 1 - 10
of 447
pro vyhledávání: '"NORTON, RICHARD"'
Autor:
Nyer, Maren B., Foster, Simmie L., Petrie, Samuel R., Mac Giollabhui, Naoise, Gould, Dylan A., Flux, M.C., Norton, Richard J., Nagaswami, Megha, Viotti, Alice, Ding, Grace A., Cross, Grace E., Yucebas, Defne, Sorensen, Chloe, Abdallah, Isabelle, Peacock, Juliana, Dalvie, Anika, Jahan, Aava, Kessler, Lyanna R., Sandal, Lauren M., Marquart, Brandon M., Middlemist, Brandon H., Mehta, Darshan H., Streeter, Chris, Uebelacker, Lisa A., Lamon-Fava, Stefania, Mason, Ashley E., Jain, Felipe, Sauder, Tina, Raison, Charles, Fava, Maurizio, Miller, Karen K., Lowry, Christopher A., Mischoulon, David
Publikováno v:
In Brain Behavior and Immunity Integrative December 2024 8
Autor:
Baker, Lucas D., Ponder, Warren N., Carbajal, Jose, Norton, Richard, Price, Matthew, Cassiello-Robbins, Clair, Roberge, Erika M.
Publikováno v:
In European Journal of Trauma & Dissociation December 2024 8(4)
Autor:
Mack, Elizabeth A., Theuerkauf, Ethan J., Pepper, Joshua, Norton, Richard K., Bunting, Erin L.
Publikováno v:
In Ocean and Coastal Management 1 September 2024 255
Publikováno v:
Journal of Clinical Sport Psychology; Jun2024, Vol. 18 Issue 2, p215-233, 19p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Price, Matthew, Hidalgo, Johanna E., Bird, Yoshi M., Bloomfield, Laura S.P., Buck, Casey, Cerutti, Janine, Dodds, Peter Sheridan, Fudolig, Mikaela Irene, Gehman, Rachel, Hickok, Marc, Kim, Julia, Llorin, Jordan, Lovato, Juniper, McGinnis, Ellen W., McGinnis, Ryan S., Norton, Richard, Ramirez, Vanessa, Stanton, Kathryn, Ricketts, Taylor H., Danforth, Christopher M.
Publikováno v:
In Contemporary Clinical Trials October 2023 133
Autor:
Rohan, Kelly J., Burt, Keith B., Norton, Richard J., Perez, Jessica, Iyiewuare, Praise, Terman, Julia M.
Publikováno v:
In Behavior Therapy July 2023 54(4):682-695
We consider posterior sampling in the very common Bayesian hierarchical model in which observed data depends on high-dimensional latent variables that, in turn, depend on relatively few hyperparameters. When the full conditional over the latent varia
Externí odkaz:
http://arxiv.org/abs/1610.06632
