Results 81 to 90 of about 6,398 (252)

Misalignment in Carbon Credit Programmes: Insights From Producer Preferences for Cover Crop and No‐Till Contracts

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT This study examines the factors influencing producer adoption of cover cropping and no‐till farming, two key carbon sequestration practices, within the context of voluntary carbon credit programmes (CCPs) in Kansas. Using a mixed‐methods survey that combines discrete choice experiments with farm‐level data from 370 producers, we estimate ...
Grant Edward Gardner, Gabriel S. Sampson, Shuoli Zhao   +2 more
wiley   +1 more source

Asymptotic properties of the Bernstein density copula for dependent data [PDF]

Copulas are extensively used for dependence modeling. In many cases the data does not reveal how the dependence can be modeled using a particular parametric copula. Nonparametric copulas do not share this problem since they are entirely data based.
ROMBOUTS, Jeroen V.K., TAAMOUTI, Abderrahim, BOUEZMARNI, Taoufik   +2 more
core  

Not all Temperature Shocks are Alike: Disentangling Heat and High Temperature Shocks and Their Effects on Inflation in Australia

Economic Record, EarlyView.
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley   +1 more source

Inference on state occupancy in covariate‐driven hidden Markov models

Methods in Ecology and Evolution, EarlyView.
Abstract Hidden Markov models (HMMs) are natural and popular tools for analysing animal behaviour based on movement, acceleration and other sensor data. In particular, these models make it possible to infer how the animal's decision‐making process interacts with internal and external drivers by relating the probabilities of switching between distinct ...
Maya Natascha Vienken, Jan‐Ole Fischer, Roland Langrock   +2 more
wiley   +1 more source

Stable Isotope Analysis as a Tool to Prevent Illicit Wildlife Trade of Songbirds in Brazil

Animal Conservation, EarlyView.
Feather isotopes provide clear differences between wild and captive songbirds in Brazil. Combining multiple isotopes improved classification accuracy and revealed individuals falsely declared as captive‐bred. These results demonstrate the potential of isotope analysis to detect wildlife laundering in the bird trade.
Luiza Brasileiro, Fábio J. V. Costa, Paulo R. R. Ramos, Vladimir E. Costa, Gabriela B. Nardoto   +4 more
wiley   +1 more source

Nonparametric regression for dependent data in the errors-in-variables problem [PDF]

We consider the nonparametric estimation of the regression functions for dependent data. Suppose that the covariates are observed with additive errors in the data and we employ nonparametric deconvolution kernel techniques to estimate the regression ...
Toshio Honda
core  

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source

Central limit theorem for integrated square error of multivariate nonparametric density estimators

Journal of Multivariate Analysis, 1984
AbstractMartingale theory is used to obtain a central limit theorem for degenerate U-statistics with variable kernels, which is applied to derive central limit theorems for the integrated square error of multivariate nonparametric density estimators.
openaire   +2 more sources

Normal Reference Bandwidths for the General Order, Multivariate Kernel Density Derivative Estimator [PDF]

This note derives the general form of the approximate mean integrated squared error for the q-variate, th-order kernel density r th derivative estimator. This formula allows for normal reference rule-of-thumb bandwidths to be derived.
Christopher F. Parmeter, Daniel J. Henderson   +1 more
core  

GEVIS: A Workflow‐Driven Visual Analytics Approach to Differential Gene Expression Analysis

Computer Graphics Forum, EarlyView.
Abstract Differential gene expression (DGE) analysis is one of the most widely used techniques for investigating RNA‐seq data and supports numerous medical and biological applications, including biomarker identification for diagnosis and prognosis, as well as the evaluation of medical treatments.
G. Blasilli, F. Fortunato, C. Santaroni, G. Fiscon, G. Santucci   +4 more
wiley   +1 more source