Results 91 to 100 of about 6,398 (252)

A Bayesian approach to parameter estimation for kernel density estimation via transformations [PDF]

open access: yes
In this paper, we present a Markov chain Monte Carlo (MCMC) simulation algorithm for estimating parameters in the kernel density estimation of bivariate insurance claim data via transformations.
David Pitt   +3 more
core  

Providing regular and frequent maps of losses and gains of farmland birds based on European monitoring data

open access: yesConservation Biology, EarlyView.
Abstract Knowledge of species distributions is essential for informing policies on nature conservation and restoration. However, updating them on a regular basis and doing so in a harmonized manner at the international level is difficult. The European Bird Census Council integrated national monitoring data covering 5 years to update farmland bird ...
Sergi Herrando   +54 more
wiley   +1 more source

Estimation of continuous-time interest rate models: a nonparametric approach [PDF]

open access: yes
This paper presents a general, nonlinear model for term structure interest rate. The approach is the same of Stanton (1997) but it has been extended to a multifactor model. The novel aspect is that rather than choosing the functional specification of the
Orazio Di Miscia
core  

Persistence without prosperity at the upper range margin: Elevation, microhabitat buffering and biotic pressure in a range‐expanding spider

open access: yesEcological Entomology, EarlyView.
Anthropogenic linear features facilitate high‐elevation colonization. Parasitoid pressure declines markedly with elevation. Cocoon damage increases despite reduced parasitism at high elevation. Abstract The upper elevational range limits of thermophilic arthropods reflect constraints on population persistence rather than simple presence.
Zdeněk Vacek   +2 more
wiley   +1 more source

Nonparametric Estimation of Risk-Neutral Densities [PDF]

open access: yes
This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches which do not require parametric functional assumptions on the underlying asset price dynamics nor on the distributional form of the risk ...
Wolfgang Karl Härdle   +2 more
core  

Biogeography of Atlantic Salmon in the Cape Breton Highlands, Canada

open access: yesFisheries Management and Ecology, EarlyView.
ABSTRACT Atlantic Salmon (Salmo salar) populations have experienced significant declines in recent decades. In Canada, conservation efforts are divided into 16 designatable units (DUs) to address unique regional challenges among genetically distinct populations.
Oscar D. P. Notman‐Grobler   +4 more
wiley   +1 more source

Loss of Posterior Occlusal Support Is Associated With Incident Steatotic Liver Disease in a Nationwide Longitudinal Analysis of the JMDC Claims Database

open access: yesHepatology Research, EarlyView.
ABSTRACT Aim Steatotic liver disease (SLD), including metabolic dysfunction–associated SLD (MASLD) and metabolic dysfunction–associated alcohol‐related liver disease (MetALD), is a growing global health burden. Although impaired mastication is linked to metabolic disorders, its role in SLD remains unclear.
Takashi Miyano   +4 more
wiley   +1 more source

Computing nonparametric functional estimates in semiparametric problems. [PDF]

open access: yes
We offer a set of FORTRAN routines which compute nonparametric estimates of a number of functionals. The routines are primarily intended to be used in the estimation of semiparametric models.
Delgado, Miguel A.
core  

Toward a Synthetic Data Revolution: Diffusion Model‐Enhanced Hepatocellular Carcinoma Prediction in Steatotic Liver Disease

open access: yesHepatology Research, EarlyView.
ABSTRACT Aim Steatotic liver disease (SLD) encompasses a heterogeneous spectrum with varying risks of hepatocellular carcinoma (HCC). Limited sample sizes limit the development of predictive models, particularly for rare outcomes. This study evaluated whether generative artificial intelligence (AI)‐based synthetic data augmentation can enhance HCC risk
Masaya Sato   +12 more
wiley   +1 more source

logcondens: Computations Related to Univariate Log-Concave Density Estimation [PDF]

open access: yes
Maximum likelihood estimation of a log-concave density has attracted considerable attention over the last few years. Several algorithms have been proposed to estimate such a density. Two of those algorithms, an iterative convex minorant and an active set
Lutz Dümbgen, Kaspar Rufibach
core   +1 more source

Home - About - Disclaimer - Privacy