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An approach to solve an unbalanced fully rough multi-objective fixed-charge transportation problem

Computational & applied mathematics, 2022-06, Vol.41 (4), Article 129

2022

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A Primer on Scientific Programming with Python

Langtangen, Hans Petter

5th ed. 2016, 2016

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Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Journal of the American Statistical Association, 2018-07, Vol.113 (523), p.1228-1242

2018

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Changepoint Detection in the Presence of Outliers

Journal of the American Statistical Association, 2019-01, Vol.114 (525), p.169-183

2019

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A random forest guided tour

Test (Madrid, Spain), 2016-06, Vol.25 (2), p.197-227

2016

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The Blessings of Multiple Causes

Journal of the American Statistical Association, 2019-10, Vol.114 (528), p.1574-1596

2019

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Sparse Sliced Inverse Regression via Lasso

Journal of the American Statistical Association, 2019-10, Vol.114 (528), p.1726-1739

2019

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Statistical clustering of temporal networks through a dynamic stochastic block model

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-09, Vol.79 (4), p.1119-1141

2017

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Sparse graphs using exchangeable random measures

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-11, Vol.79 (5), p.1295-1366

2017

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A Tuning-free Robust and Efficient Approach to High-dimensional Regression

Journal of the American Statistical Association, 2020-12, Vol.115 (532), p.1700-1714

2020

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Linear and conic programming estimators in high dimensional errors-in-variables models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-06, Vol.79 (3), p.939-956

2017

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Random Forests for Spatially Dependent Data

Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.665-683

2023

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Inference on estimators defined by mathematical programming

Journal of econometrics, 2022-02, Vol.226 (2), p.248-268

2022

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Robust Bayesian Inference via Coarsening

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1113-1125

2019

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Optimal Estimation of the Number of Network Communities

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.2101-2116

2023

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MEAN-VARIANCE PORTFOLIO OPTIMIZATION WITH STATE-DEPENDENT RISK AVERSION

Mathematical finance, 2014-01, Vol.24 (1), p.1-24

2014

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What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures

Journal of the Royal Statistical Society. Series A, Statistics in society, 2016-02, Vol.179 (2), p.481-511

2016

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Communication-Efficient Accurate Statistical Estimation

Journal of the American Statistical Association, 2023-04, Vol.118 (542), p.1000-1010

2023

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Fairness-Oriented Learning for Optimal Individualized Treatment Rules

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.1733-1746

2023

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Do not Blame Bellman: It Is Koopmans' Fault

Econometrica, 2024-01, Vol.92 (1), p.111-140

2024

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Gaussian differential privacy

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022-02, Vol.84 (1), p.3-37

2022

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A General Framework for Inference on Algorithm-Agnostic Variable Importance

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.1645-1658

2023

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Dynamic programming approach to principal–agent problems

Finance and stochastics, 2018, Vol.22 (1), p.1-37

2018

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Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.2171-2183

2023

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MCMC for Imbalanced Categorical Data

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1394-1403

2019

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An approach to solve an unbalanced fully rough multi-objective fixed-charge transportation problem

A Primer on Scientific Programming with Python

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Changepoint Detection in the Presence of Outliers

A random forest guided tour

The Blessings of Multiple Causes

Sparse Sliced Inverse Regression via Lasso

Statistical clustering of temporal networks through a dynamic stochastic block model

Sparse graphs using exchangeable random measures

A Tuning-free Robust and Efficient Approach to High-dimensional Regression

Linear and conic programming estimators in high dimensional errors-in-variables models

Random Forests for Spatially Dependent Data

Inference on estimators defined by mathematical programming

Robust Bayesian Inference via Coarsening

Optimal Estimation of the Number of Network Communities

MEAN-VARIANCE PORTFOLIO OPTIMIZATION WITH STATE-DEPENDENT RISK AVERSION

What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures

Communication-Efficient Accurate Statistical Estimation

Fairness-Oriented Learning for Optimal Individualized Treatment Rules

Do not Blame Bellman: It Is Koopmans' Fault

Gaussian differential privacy

A General Framework for Inference on Algorithm-Agnostic Variable Importance

Dynamic programming approach to principal–agent problems

Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control

MCMC for Imbalanced Categorical Data

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