Results 211 to 220 of about 1,003,694 (275)

An observation‐driven state‐space model for claims size modelling

Canadian Journal of Statistics, EarlyView.
Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn, Himchan Jeong, Mario V. Wüthrich   +2 more
wiley   +1 more source

Surveying tropical faunal diversity via airborne DNA analyses. [PDF]

Sci Rep
Craine JM, Schulte N, Devitt J, Leopold D, Saltonstall K, Fierer N.   +5 more
europepmc   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source

Mathematical Analysis for a Class of Stochastic Copolymerization Processes. [PDF]

Bull Math Biol
Anderson DF, Ma J, Gagrani P.
europepmc   +1 more source

Optimal dividends for a NatCat insurer in the presence of a climate tipping point

Canadian Journal of Statistics, EarlyView.
Abstract We study optimal dividend strategies for an insurance company facing natural catastrophe claims, anticipating the arrival of a climate tipping point after which the claim intensity and/or the claim size distribution of the underlying risks deteriorates irreversibly.
Hansjörg Albrecher, Pablo Azcue, Nora Muler   +2 more
wiley   +1 more source

Asymptotic properties of cross‐classified sampling designs

Canadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

Generalized coarsened confounding for causal effects: a large-sample framework. [PDF]

J Causal Inference
Ghosh D, Wang L.
europepmc   +1 more source

Asymptotic independence in more than two dimensions and its implications on risk management

Canadian Journal of Statistics, EarlyView.
Abstract In extreme value theory, the presence of asymptotic independence signifies that joint extreme events across multiple variables are unlikely. Although well understood in a bivariate context, the concept remains relatively unexplored when addressing the nuances of simultaneous occurrence of extremes in higher dimensions.
Bikramjit Das, Vicky Fasen‐Hartmann
wiley   +1 more source

Asymptotic hyperfunctions, tempered hyperfunctions, and asymptotic expansions

International Journal of Mathematics and Mathematical Sciences, 2005
Andreas U. Schmidt
doaj   +1 more source

Modeling growth performance of heterogeneous rabbits in a pastured system using nonlinear, spline and random regression models. [PDF]

Vet Anim Sci
Bashiru HA, Oseni SO.
europepmc   +1 more source