Extreme quantile estimation for partial functional linear regression models with heavy-tailed distributions. [PDF]
Can J Stat, 2022 Zhu H, Li Y, Liu B, Yao W, Zhang R.
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A note on the choice of the number of slices in sliced inverse regression [PDF]
Sliced inverse regression (SIR) is a clever technique for reducing the dimension of the predictor in regression problems, thus avoiding the curse of dimensionality. There exist many contributions on various aspects of the performance of SIR.
Becker, Claudia, Gather, Ursula
core
An Expectation-Maximization Algorithm for Combining a Sample of Partially Overlapping Covariance Matrices. [PDF]
Axioms, 2023 Akdemir D, Somo M, Isidro-Sanchéz J.
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Biwhitening Reveals the Rank of a Count Matrix. [PDF]
SIAM J Math Data Sci, 2022 Landa B, Zhang TTCK, Kluger Y.
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BOUNDS ON THE CONDITIONAL AND AVERAGE TREATMENT EFFECT WITH UNOBSERVED CONFOUNDING FACTORS. [PDF]
Ann Stat, 2022 Yadlowsky S +4 more
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Modeling and replicating statistical topology, and evidence for CMB non-homogeneity
, 2017 Under the banner of `Big Data', the detection and classification of structure in extremely large, high dimensional, data sets, is, one of the central statistical challenges of our times. Among the most intriguing approaches to this challenge is `TDA', or
Adler, Robert J. +2 more
core
An Extension of the Traditional Classication Rules: the Case of Non-Random Samples [PDF]
The paper deals with an heuristic generalization of the traditional classication rules by incorporating within sample dependencies. The main motivation behind this generalization is to develop a new classication rule when training samples are not random,
Anuradha Roy, Ricardo Leiva
core
Partial least squares regression with compositional response variables and covariates. [PDF]
J Appl Stat, 2021 Chen J, Zhang X, Hron K.
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On Representations of Divergence Measures and Related Quantities in Exponential Families. [PDF]
Entropy (Basel), 2021 Bedbur S, Kamps U.
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CANONICAL THRESHOLDING FOR NON-SPARSE HIGH-DIMENSIONAL LINEAR REGRESSION. [PDF]
Ann Stat, 2022 Silin I, Fan J.
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