Results 61 to 70 of about 3,807,500 (349)

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

A typology of models used in actuarial science

South African Actuarial Journal, 2006
This paper proposes a categorisation of the models used in actuarial science. It illustrates the application of that categorisation by using it to classify numerous such models. It is suggested that this categorisation, together with the illustrative classification, may be used as a typology for the classification of other such models, and that this ...
RJ Thomson
openalex   +3 more sources

Subuniformity of harmonic mean p$$ p $$‐values

Canadian Journal of Statistics, EarlyView.
Abstract We obtain several inequalities on the generalized means of dependent p$$ p $$‐values. In particular, the weighted harmonic mean of p$$ p $$‐values is strictly subuniform under several dependence assumptions of p$$ p $$‐values, including independence, negative upper orthant dependence, the class of extremal mixture copulas, and some Clayton ...
Yuyu Chen, Ruodu Wang, Yuming Wang, Wenhao Zhu   +3 more
wiley   +1 more source

The Relevance of an Existential Conception of Nature [PDF]

, 2014
It is often assumed that science provides the most accurate knowledge about nature. This view not only collapses distinctions between different forms of knowing but also results in a paradox whereby understanding what it means to exist in the world is ...
Mei, Todd
core   +1 more source

Developing an Introduction to Actuarial Science MOOC

, 2018
Financial Mathematics a subject taught under the actuarial science program in preparation for the professional actuarial examination under the SOA as well as getting students to understand the monetary aspect of the current financial system.
A. Ridzuan, M. Chek, Noraini Abdul Ghafar, Abu Bakar Ahmad   +3 more
semanticscholar   +1 more source

A probabilistic diagnostic for Laplace approximations: Introduction and experimentation

Canadian Journal of Statistics, EarlyView.
Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley   +1 more source

COVID-19 and Excess Mortality: An Actuarial Study

Risks
The study of mortality is an ever-active field of research, and new methods or combinations of methods are constantly being developed. In the actuarial domain, the study of phenomena disrupting mortality and leading to excess mortality, as in the case of
Camille Delbrouck, Jennifer Alonso-García   +1 more
doaj   +1 more source

AI and the Future of Disputing: Naming, Blaming, Claiming, and Preventing

Conflict Resolution Quarterly, EarlyView.
ABSTRACT This paper explores the transformative impact of artificial intelligence (AI) on dispute resolution mechanisms. Our analysis builds on the longstanding framework for explaining the stages through which disputes evolve: the “naming, blaming, claiming” model by Felstiner, Abel, and Sarat (1981).
Ethan Katsh, Talia Schwartz‐Maor, Orna Rabinovich‐Einy   +2 more
wiley   +1 more source

Computational Actuarial Science with R

, 2014
Introduction Arthur Charpentier and Rob Kaas Methodology Standard Statistical Inference Christophe Dutang Bayesian Philosophy Arthur Charpentier and Ben Escoto Statistical Learning Arthur Charpentier and Stephane Tuffery Spatial Analysis Renato Assuncao, Marcelo Azevedo Costa, Marcos Oliveira Prates, and Luis Gustavo Silva e Silva Reinsurance and ...
openaire   +2 more sources

Interconnected pathways and emerging therapies in chronic kidney disease and heart failure: A comprehensive review

ESC Heart Failure, EarlyView.
Abstract Chronic kidney disease (CKD) and chronic heart failure (HF) frequently coexist and, when comorbid, are associated with poorer outcomes. These two diseases have common risk factors, such as diabetes, obesity and hypertension, and common pathophysiological connected mechanisms, including inflammation, endothelial dysfunction, neurohormonal ...
Johann Bauersachs, Eri Toda Kato, Janani Rangaswami   +2 more
wiley   +1 more source