Results 91 to 100 of about 16,027 (213)
Spatial price competition and buyer power in the U.S. beef packing industry
American Journal of Agricultural Economics, EarlyView.Abstract We develop a spatially‐explicit model of the U.S. beef packing industry to study key questions related to competition in an oligopsony setting. Cattle supplies are modeled at the county level, and packing plants' location, capacity, and ownership are taken as given. Packers procure negotiated cattle by competing in prices in each local (county)
GianCarlo Moschini, T. Jake Smith
wiley +1 more source
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
High resolution 10 mu spectrometry at different planetary latitudes. A practical Hadamard transform spectrometer for astronomical application [PDF]
Infrared observations at different latitudes were studied in order to obtain spectra in the 10 micrometers region to understand differences in chemical composition or physical structure of the optical features.
Briotta, D. A., Jr. +7 more
core +1 more source
Quantum Phase Estimation with Arbitrary Constant-precision Phase Shift Operators [PDF]
, 2011 While Quantum phase estimation (QPE) is at the core of many quantum algorithms known to date, its physical implementation (algorithms based on quantum Fourier transform (QFT)) is highly constrained by the requirement of high-precision controlled phase ...
Ahmadi, Hamed, Chiang, Chen-Fu
core
PSHead: 3D Head Reconstruction from a Single Image with Diffusion Prior and Self‐Enhancement
Computer Graphics Forum, EarlyView.We introduce PSHead, a coarse‐to‐fine framework guided by both object and face priors, to produce a Gaussian‐based 3D avatar for a single frontal‐view reference image. In the coarse stage, we create an initial 3D representation by applying diffusion models trained for general object generation, using Score Distillation Sampling losses over novel views.
Jing Yang +4 more
wiley +1 more source
Innovation, Licensing, and Competition: Evidence From Genetically Engineered Crops
The Journal of Industrial Economics, EarlyView.ABSTRACT We provide a novel empirical analysis of the role of technology licensing, between competitors, for genetically engineered (GE) traits in the US seed industry. We extend the standard differentiated‐product Bertrand pricing model to include trait licensing, which permits us to recover marginal costs and (otherwise unobserved) royalty rates ...
GianCarlo Moschini, Edward D. Perry
wiley +1 more source
New Hermite-Hadamard Type Inequalities for Twice Differentiable Composite $(h-s)_2$-Convex Functions
, 2016 9 ...
Olanipekun, Peter Olamide +1 more
openaire +2 more sources
Gradual Changes in Functional Time Series
Journal of Time Series Analysis, EarlyView.ABSTRACT We consider the problem of detecting gradual changes in the sequence of mean functions from a not necessarily stationary functional time series. Our approach is based on the maximum deviation (calculated over a given time interval) between a benchmark function and the mean functions at different time points.
Patrick Bastian, Holger Dette
wiley +1 more source
Tensor Changepoint Detection and Eigenbootstrap
Journal of Time Series Analysis, EarlyView.ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta +2 more
wiley +1 more source
Capital in Motion: Synthesizing the Circulation and Reproduction in a Multi‐Sector Growth Model
Metroeconomica, EarlyView.ABSTRACT This paper analyzes Capital in Motion (CIM) in a capitalist economy, based on Karl Marx's Capital, Volume 2. It examines the circuit of capital, distinguishing between stock and flow variables, and integrates a multi‐sector growth model that combines the circuit and turnover of capital with the reproduction scheme.
Takashi Satoh
wiley +1 more source