Results 191 to 200 of about 388,965 (312)
On a formulation of the central limit theorem [PDF]
Alexander Shmyrov, Vasily Shmyrov
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QUENCHED CENTRAL LIMIT THEOREMS FOR A STATIONARY LINEAR PROCESS [PDF]
Dalibor Volný, Michael Woodroofe
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Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
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Invariance Principle for Lifts of Geodesic Random Walks. [PDF]
Junné J, Redig F, Versendaal R.
europepmc +1 more source
The central limit theorem under random truncation. [PDF]
Stute W, Wang JL.
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Central Limit Theorems for Biorthogonal Ensembles and Asymptotics of Recurrence [PDF]
Jonathan Breuer, Maurice Duits
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Central Limit Theorem for a Randomized Quasi-Monte Carlo Estimator of a Smooth Function of Means [PDF]
Marvin K. Nakayama +2 more
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Central limit theorem for Banach space valued fuzzy random variables [PDF]
Frank Proske, Madan L. Puri
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Rank‐based estimation of propensity score weights via subclassification
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang +3 more
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