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

Geometric structures and discrete group actions / Structures géométriques et actions de groupes discrets

Misha Gromov : Mathematical Description of Biological Structures

Applications of NonCommutative Geometry to Gauge Theories, Field Theories, and Quantum Space-Time / Applications de la Géométrie Non Commutative aux Théories de Jauge, à la Théorie des Champs et aux Espaces-Temps Quantiques

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

Slow Convergence of Stochastic Optimization Algorithms Without Derivatives Is Avoidable

Topics in Algorithmic Fairness

Optimal Rates of Exact Recovery of the Matching Map

Deep Out-of-the-distribution Uncertainty Quantification in for Data (Science) Scientists