Results 131 to 140 of about 3,774,080 (285)
Journal of Agricultural Economics, EarlyView.ABSTRACT We develop a framework for regulated production systems where output generation and pollution abatement impose competing technological demands. Using a multi‐ware technology, we model the production set as the intersection of two input requirement frontiers, one for production and one for abatement, each reflecting distinct trade‐offs.
Youpei Yan, Robert G. Chambers
wiley +1 more source
Jixie qiangdu, 2020 Research and establishment of customer service road-load characteristics are foundation and precondition for reasonable lightweight design of automotive structure strength.
LUAN ShiJie +3 more
doaj
Improved Nonparametric Density Estimation Using Additive Kernel Estimators
One way of improving the rate of convergent of classical kernel estimator is to use higher –order kernel function. In this thesis suggests anew” additive kernel estimator” to estimate f(x) , the proposed estimator are simple and interpretable as the higher –order estimator .
openaire +1 more source
Mitigating policy uncertainty: What financial markets reveal about firm‐level lobbying
American Journal of Political Science, EarlyView.Abstract Elections can lead to substantial policy changes and, thus, are a significant source of risk. Firms can respond to such policy uncertainty by lobbying, but it is hard to quantify whether they do so and, if so, how much lobbying benefits them. We construct a new dataset and leverage investors’ expectations of variability in stock returns in the
Kristy Buzard +2 more
wiley +1 more source
DESIGN-ADAPTIVE POINTWISE NONPARAMETRIC REGRESSION ESTIMATION FOR RECURRENT MARKOV TIME SERIES [PDF]
A general framework is proposed for (auto)regression nonparametric estimation of recurrent time series in a class of Hilbert Markov processes with a Lipschitz conditional mean.
Guerre
core
ReMoDe – Recursive modality detection in distributions of ordinal data
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt +3 more
wiley +1 more source
Feasible Multivariate Nonparametric Estimation Using Weak Separability [PDF]
One of the main practical problems of nonparametric regression estimation is the curse of dimensionality. The curse of dimensionality arises because nonparametric regression estimates are dependent variable averages local to the point at which the ...
Joris Pinkse
core
Survey on Compositional 3D Indoor Scene Generation
Computer Graphics Forum, EarlyView.This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam +7 more
wiley +1 more source
Nonparametric option pricing with no-arbitrage constraints [PDF]
We propose a completely kernel based method of estimating the call price function or the state price density of options. The new estimator of the call price function fulfills the constraints like monotonicity and convexity given in Breeden and ...
Birke, Melanie, Pilz, Kay F.
core
Biogeography of Atlantic Salmon in the Cape Breton Highlands, Canada
Fisheries 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