# Ryan J. Tibshirani

Associate Professor

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## Papers69 papers

Surprises in High-Dimensional Ridgeless Least Squares Interpolation.

A Higher-Order Kolmogorov-Smirnov Test.

The limits of distribution-free conditional predictive inference

Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights.

High‐dimensional longitudinal classification with the multinomial fused lasso

The Generalized Lasso Problem and Uniqueness

Kalman Filter, Sensor Fusion, and Constrained Regression - Equivalences and Insights.

Conformal Prediction Under Covariate Shift.

Comment: Statistical Inference from a Predictive Perspective

Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions.

A Continuous-Time View of Early Stopping for Least Squares Regression.

Distribution-Free Predictive Inference for Regression

**6**|Bibtex

Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE?

**1**|Bibtex

Exact post-selection inference for the generalized lasso path

Uniform asymptotic inference and the bootstrap after model selection

A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening.

A human judgment approach to epidemiological forecasting.

Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions.

Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso

**9**|Bibtex

Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods.

Graph Sparsification Approaches for Laplacian Smoothing.

Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers.

The Multiple Quantile Graphical Model.

Exact Post-Selection Inference for Changepoint Detection and Other Generalized Lasso Problems

The DFS fused lasso: nearly optimal linear-time denoising over graphs and trees

Efficient Implementations of the Generalized Lasso Dual Path Algorithm.

High-Dimensional Longitudinal Classification with the Multinomial Fused Lasso

**3**|Bibtex

Statistical learning with sparsity : the lasso and generalizations

Flexible Modeling of Epidemics with an Empirical Bayes Framework

Correction to rejoinder to “A significance test for the Lasso”

**3**|Bibtex

Rejoinder: “A significance test for the lasso”

Exact Post-selection Inference for Forward Stepwise and Least Angle Regression

**62**|Bibtex

Post-selection adaptive inference for Least Angle Regression and the Lasso

**45**|Bibtex

A General Framework for Fast Stagewise Algorithms

Adaptive piecewise polynomial estimation via trend filtering

Strong rules for discarding predictors in lasso-type problems.

Strong rules for discarding predictors in lasso-type problems.

A statistician plays darts: Darts

The Solution Path of the Generalized Lasso

A bias correction for the minimum error rate in cross-validation

**68**|Bibtex

Fast computation of the median by successive binning

**16043**|Bibtex

**16043**|Bibtex