Results 221 to 230 of about 5,802,809 (341)
Asymptotic behavior of functions with bounded boundary rotation [PDF]
, 1972 J. W. Noonan
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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
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Asymptotic Behavior of the Eigenvalues in the Wick-Cutkosky Model for Large Principal Quantum Number [PDF]
, 1976 N. Seto
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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
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An Asymptotic 0-1 Behavior of Gaussian Processes [PDF]
, 1971 Clifford Qualls, H. Watanabe
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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
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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
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Asymptotic Behavior of Solutions of Hyperbolic Inequalities [PDF]
, 1971 Amy C. Murray
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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
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