Results 211 to 220 of about 2,564,259 (289)

Measuring Non-Gaussian Magic in Fermions: Convolution, Entropy, and the Violation of Wick's Theorem and the Matchgate Identity [PDF]

Luke Coffman, Graeme Smith, Xun Gao
openalex   +1 more source

Three-vector and scalar field identities and uniqueness theorems in Euclidean and Minkowski spaces [PDF]

, 2009
Dale A. Woodside
openalex   +1 more source

Some $q$-hypergeometric identities associated with partition theorems of Lebesgue, Schur and Capparelli [PDF]

Yazan Alamoudi, Krishnaswami Alladi
openalex   +1 more source

Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates

Canadian Journal of Statistics, EarlyView.
Abstract In this article, we consider the imputation of missing responses in a longitudinal dataset via matrix completion. We propose a fixed‐effect, longitudinal, low‐rank model that incorporates both subject‐specific and time‐specific covariates. To solve the optimization problem, a two‐step optimization algorithm is proposed, which provides good ...
Zhaohan Sun, Yeying Zhu, Joel A. Dubin
wiley   +1 more source

Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data

Canadian Journal of Statistics, EarlyView.
Abstract Balancing data privacy with public access is critical for sensitive datasets. However, even after de‐identification, the data are still vulnerable to, for example, inference attacks (by matching some keywords with external datasets). Statistical disclosure control (SDC) methods offer additional protection, and the post‐randomization method ...
Qinglong Tian, Jiwei Zhao
wiley   +1 more source

An equipartition of energy theorem for weak solutions of evolutionary equations in Hilbert space: The Lagrange identity method

, 1977
Howard A. Levine
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Random discrete probability measures based on a negative binomial process

Canadian Journal of Statistics, EarlyView.
Abstract A distinctive functional of the Poisson point process is the negative binomial process for which the increments are not independent but are independent conditional on an underlying gamma variable. Using a new point process representation for the negative binomial process, we generalize the Poisson–Kingman distribution and its corresponding ...
Sadegh Chegini, Mahmoud Zarepour
wiley   +1 more source

A multivariate Poisson model based on a triangular comonotonic shock construction

Canadian Journal of Statistics, EarlyView.
Abstract Multi‐dimensional data frequently occur in many different fields, including risk management, insurance, biology, environmental sciences, and many more. In analyzing multivariate data, it is imperative that the underlying modelling assumptions adequately reflect both the marginal behaviour and the associations between components.
Orla A. Murphy, Juliana Schulz
wiley   +1 more source

Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning

Canadian Journal of Statistics, EarlyView.
Abstract Modern longitudinal data from wearable devices consist of biological signals at high‐frequency time points. Distributed statistical methods have emerged as a powerful tool to overcome the computational burden of estimation and inference with large data, but methodology for distributed functional regression remains limited.
Cole Manschot, Emily C. Hector
wiley   +1 more source

Restricted Tweedie stochastic block models

Canadian Journal of Statistics, EarlyView.
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
wiley   +1 more source