Aki Vehtari: Model assessment, selection and averaging Published 2018-11-15 Download video MP4 360p Download video MP4 720p Recommendations 1:59:39 Nicolas Chopin: An introduction to particle filters 1:46:09 Håvard Rue: Bayesian computation with INLA 23:47 Gaussian Processes 2:34:10 Sophie Ricci: Data assimilation training course @ CEMRACS: Introduction and variantional algorithms 21:58 StatQuest: Principal Component Analysis (PCA), Step-by-Step 3:00:51 Vivien Mallet: Introduction to data assimilation: Kalman filters and ensembles 47:14 Best of Slavoj Žižek | On cynicism, pleasure, philosophy, and more 1:00:36 Héctor H. Pastén Vásquez: Shimura curves and bounds for the abc conjecture 24:09 Interview at Cirm: Terence TAO 57:49 Tom Leinster : The categorical origins of entropy 35:52 Holly Krieger: Height pairings, torsion points, and dynamics 1:41:11 How Language Shapes Thought | Lera Boroditsky 53:01 Samuli Siltanen: Reconstruction methods for ill-posed inverse problems - Part 1 55:56 Alessandra Sarti: Topics on K3 surfaces - Lecture 1: K3 surfaces in the Enriques Kodaira... 1:15:08 Professor Slavoj Žižek | Full Address and Q&A | Oxford Union 51:38 Isabelle Gallagher: Some results on global solutions to the Navier-Stokes equations 43:35 Martin Vetterli: Wavelets and signal processing: a match made in heaven Similar videos 1:10:28 Model assessment and selection - Aki Vehtari 1:17:41 Tutorial: Model assessment, selection and inference after model selection - Aki Vehtari 1:07:07 GPSS2017 workshop: On Bayesian model selection and model averaging, Aki Vehtari 30:03 BDA 2019 Lecture 9.2 model comparison and selection 50:15 Practical pre-asymptotic diagnostic of Monte Carlo estimates 29:49 Uncertainty in Bayesian leave-one-out cross-validation based model comparison 50:50 BDA 2019 Lecture 9.1 PSIS-LOO and K-fold cross-validation 13:58 How many digits to report and how many iterations to run 51:27 BDA 2019 Lecture 10.1 Decision analysis 14:35 BDA course 2.1 Observation model, likelihood, posterior, and binomial model 1:05:03 #29 Model Assessment, Non-Parametric Models, And Much More, with Aki Vehtari 43:11 BDA 2019 Lecture 4.2 direct simulation, curse of dimensionality, rejection and importance sampling 11:20 Evaluating model fit through AIC, DIC, WAIC and LOO-CV 1:05:33 Aki Vehtari: On Bayesian Workflow 54:58 BDA 2019 Lecture 12.1 Frequency evaluation, hypothesis testing, and variable selection 1:10:46 Integration over hyperparameters and estimation of predictive performance, Aki Vehtari 26:05 BDA 2019 Lecture 9.3 extra lecture on projection predictive variable selection 25:12 Regularized Horseshoe - Aki Vehtari 58:54 [Keynote] A Few of My Favorite Diagnostics (Aki Vehtari) More results