Generalized instrumental variable models, methods, and applications

A Chesher, AM Rosen - Handbook of Econometrics, 2020 - Elsevier
This chapter sets out the extension of the scope of the classical IV model to cases in which
unobserved variables are set-valued functions of observed variables. The resulting …

An econometric model of network formation with an application to board interlocks between firms

C Gualdani - Journal of Econometrics, 2021 - Elsevier
We study identification of the players' preferences in a network formation game featuring
complete information, nonreciprocal links, and a spillover effect. We decompose the network …

Breaking the curse of dimensionality in regression

Y Zhu, J Bradic - 2017 - escholarship.org
Models with many signals, high-dimensional models, often impose structures on the signal
strengths. The common assumption is that only a few signals are strong and most of the …

Testing moment inequalities: Selection versus recentering

R Allen - Economics Letters, 2018 - Elsevier
Testing moment inequalities: Selection versus recentering - ScienceDirect Skip to main
contentSkip to article Elsevier logo Journals & Books Search RegisterSign in View PDF …

Time-to-event supervised genetic algorithm enables induction chemotherapy decision making for nasopharyngeal carcinoma

D Liu, H Li, L Wu, S Chen, T Zhang, W Huang… - IEEE …, 2021 - ieeexplore.ieee.org
Do nasopharyngeal carcinoma (NPC) patients benefit from induction chemotherapy (IC)?
This problem is of great clinical interest; however, it is difficult to obtain an accurate and …

Exact testing of many moment inequalities against multiple violations

N Koning, P Bekker - arXiv preprint arXiv:1904.12775, 2019 - arxiv.org
This paper considers the problem of testing many moment inequalities, where the number of
moment inequalities ($ p $) is possibly larger than the sample size ($ n $). Chernozhukov et …

Directing Power Towards Conic Parameter Subspaces

N Koning - arXiv preprint arXiv:1907.05077, 2019 - arxiv.org
For a high-dimensional parameter of interest, tests based on quadratic statistics are known
to have low power against subsets of the parameter space (henceforth, parameter …

Risk stratification in nasopharyngeal carcinoma patients: application of co-occurrence matrix and centrality analysis in prognostic evaluation

T Li, H Chen - Fourth International Conference on …, 2024 - spiedigitallibrary.org
Nasopharyngeal carcinoma (NPC) is a common type of malignant tumor in the head and
neck, for which treatment and prognostic evaluation are critically important for patient …

Methods for High-Dimensional Data in Econometrics

N Koning - 2021 - research.rug.nl
University of Groningen Methods for High-Dimensional Data in Econometrics Koning, Nick Page
1 University of Groningen Methods for High-Dimensional Data in Econometrics Koning, Nick …

[PDF][PDF] Breaking the curse of dimensionality with hypothesis testing in regression

Y Zhu, J Bradic - academia.edu
Abstract Models with many signals, high-dimensional models, often impose structures on the
signal strengths. The common assumption is that only a few signals are strong and most of …