Results 191 to 200 of about 3,807,500 (349)

Computing semiparametric bounds on the expected payments of insurance instruments via column generation

open access: yes, 2016
It has been recently shown that numerical semiparametric bounds on the expected payoff of fi- nancial or actuarial instruments can be computed using semidefinite programming. However, this approach has practical limitations. Here we use column generation,
Howley, Robert   +3 more
core   +1 more source

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

open access: yesCanadian Journal of Statistics, Volume 53, Issue 3, September 2025.
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

open access: yesCanadian Journal of Statistics, Volume 53, Issue 3, September 2025.
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

Predicting rare events using training data from stratified sampling designs, with application to human‐caused wildfire prediction

open access: yesCanadian Journal of Statistics, Volume 53, Issue 3, September 2025.
Abstract Response‐based sampling is often used in modelling rare events from large, imbalanced data for efficiency. When modelling the event with logistic regression, the sampling design may be adjusted for using sampling weights or an offset. We propose a stratified sampling design for modelling rare events with large data which improves on previous ...
Johanna de Haan‐Ward   +2 more
wiley   +1 more source

The development of an extended Weibull model with applications to medicine, industry and actuarial sciences [PDF]

open access: gold
Muhammad Imran   +6 more
openalex   +1 more source

Target Aggregate Data Adjustment Method for Transportability Analysis Utilizing Summary‐Level Data From the Target Population

open access: yesPharmaceutical Statistics, Volume 24, Issue 5, September/October 2025.
ABSTRACT Transportability analysis is a causal inference framework used to evaluate the external validity of studies by transporting treatment effects from a study sample to an external target population by adjusting for differences in the distributions of their effect modifiers.
Yichen Yan   +5 more
wiley   +1 more source

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