Mathematical Methods of Modern Statistics 2 / Méthodes mathématiques en statistiques modernes 2 | Tag

Consistent model selection criteria and goodness-of-fit test for common time series models

01:08:34

published on June 15, 2020

Consistent model selection criteria and goodness-of-fit test for common time series models

By Jean-Marc Bardet

Isotonic Distributional Regression (IDR) - leveraging monotonicity, uniquely so!

01:01:17

published on June 15, 2020

Isotonic Distributional Regression (IDR) - leveraging monotonicity, uniquely so!

By Tilmann Gneiting

Quasi logistic distributions and Gaussian scale mixing

57:07

published on June 15, 2020

Quasi logistic distributions and Gaussian scale mixing

By Gerard Letac

35:09

published on June 15, 2020

Scaling of scoring rules

By Jonas Wallin

The price of competition: effect size heterogeneity matters in high dimensions!

34:07

published on June 15, 2020

The price of competition: effect size heterogeneity matters in high dimensions!

By Hua Wang

How to estimate a density on a spider web ?

36:40

published on June 15, 2020

How to estimate a density on a spider web ?

By Dominique Picard

High-dimensional classification by sparse logistic regression

39:06

published on June 15, 2020

High-dimensional classification by sparse logistic regression

By Felix Abramovich

Optimal control of false discovery criteria in the general two-group model

38:07

published on June 15, 2020

Optimal control of false discovery criteria in the general two-group model

By Ruth Heller

Sparse multiple testing: can one estimate the null distribution ?

32:25

published on June 15, 2020

Sparse multiple testing: can one estimate the null distribution ?

By Etienne Roquain

Hierarchical bayes modeling for large-scale inference

50:46

published on June 15, 2020

Hierarchical bayes modeling for large-scale inference

By Daniel Yekutieli

On Cholesky structures on real symmetric matrices and their applications

29:01

published on June 15, 2020

On Cholesky structures on real symmetric matrices and their applications

By Hideyuki Ishi

Treatment effect estimation with missing attributes

29:04

published on June 15, 2020

Treatment effect estimation with missing attributes

By Julie Josse

Knockoff genotypes: value in counterfeit

56:18

published on June 15, 2020

Knockoff genotypes: value in counterfeit

By Chiara Sabatti

The smoothed multivariate square-root Lasso: an optimization lens on concomitant estimation

50:05

published on June 15, 2020

The smoothed multivariate square-root Lasso: an optimization lens on concomitant estimation

By Joseph Salmon

High-dimensional, multiscale online changepoint detection

39:43

published on June 15, 2020

High-dimensional, multiscale online changepoint detection

By Richard Samworth

De-biasing arbitrary convex regularizers and asymptotic normality

46:32

published on June 15, 2020

De-biasing arbitrary convex regularizers and asymptotic normality

By Pierre C. Bellec

Floodgate: inference for model-free variable importance

48:44

published on June 15, 2020

Floodgate: inference for model-free variable importance

By Lucas Janson

Shrinkage estimation of mean for complex multivariate normal distribution with unknown covariance when p > n

15:53

published on June 15, 2020

Shrinkage estimation of mean for complex multivariate normal distribution with unknown covariance when p > n

By Yoshihiko Konno

42:35

published on June 15, 2020

Structure learning for CTBN's

By Błażej Miasojedow

Universal inference using the split likelihood ratio test

34:30

published on June 15, 2020

Universal inference using the split likelihood ratio test

By Aaditya K. Ramdas

Optimal and maximin procedures for multiple testing problems

46:04

published on June 15, 2020

Optimal and maximin procedures for multiple testing problems

By Saharon Rosset

Post hoc bounds on false positives using reference families

34:46

published on June 15, 2020

Post hoc bounds on false positives using reference families

By Pierre Neuvial

Change: detection, estimation, segmentation

38:00

published on June 15, 2020

Change: detection, estimation, segmentation

By David Siegmund

32:29

published on June 15, 2020

Bayesian spatial adaptation

By Veronika Rockova

54:34

published on June 15, 2020

Experimenting in equilibrium

By Stefan Wager

Mathematics
and Interactions

Not Only Scalar Curvature Seminar

ALEA Days / Journées ALEA

Sylvia Serfaty : Systems with Coulomb Interactions

2022 - Francophone Computer Algebra Days - Journées nationales de calcul formel

Collection Mathematical Methods of Modern Statistics 2 / Méthodes mathématiques en statistiques modernes 2

Consistent model selection criteria and goodness-of-fit test for common time series models

Isotonic Distributional Regression (IDR) - leveraging monotonicity, uniquely so!

Quasi logistic distributions and Gaussian scale mixing

Scaling of scoring rules

The price of competition: effect size heterogeneity matters in high dimensions!

How to estimate a density on a spider web ?

High-dimensional classification by sparse logistic regression

Optimal control of false discovery criteria in the general two-group model

Sparse multiple testing: can one estimate the null distribution ?

Hierarchical bayes modeling for large-scale inference

On Cholesky structures on real symmetric matrices and their applications

Treatment effect estimation with missing attributes

Knockoff genotypes: value in counterfeit

The smoothed multivariate square-root Lasso: an optimization lens on concomitant estimation

High-dimensional, multiscale online changepoint detection

De-biasing arbitrary convex regularizers and asymptotic normality

Floodgate: inference for model-free variable importance

Shrinkage estimation of mean for complex multivariate normal distribution with unknown covariance when p > n

Structure learning for CTBN's

Universal inference using the split likelihood ratio test

Optimal and maximin procedures for multiple testing problems

Post hoc bounds on false positives using reference families

Change: detection, estimation, segmentation

Bayesian spatial adaptation

Experimenting in equilibrium

Exploiting sparsity in polynomial optimization - lecture 1

Exploiting sparsity in polynomial optimization - lecture 2

Manifold Learning with Noisy Data

Interplay between notions of convexity in complex, symplectic and contact geometries

Méthodes automatiques pour la génération aléatoire de structures combinatoires - cours 1/2

Méthodes automatiques pour la génération aléatoire de structures combinatoires - cours 2/2

Et si SAT était vraiment difficile? Quelques conséquences des hypothèses ETH et SETH

Méthodes galoisiennes appliquées aux équations fonctionnelles issues de la combinatoire énumérative