Results 261 to 270 of about 767,622 (306)

Towards million-token context windows: a topology-preserving framework for adaptive transformer sparsification. [PDF]

Sci Rep
Santos AR.
europepmc   +1 more source

Quantum computing in finance: a literature review and future directions for trustworthy financial AI. [PDF]

Front Artif Intell
Muzzioli S, Raheem F, Ferrara M, Giudici P, Siciliano R.   +4 more
europepmc   +1 more source

Multimodal Branched Transport Infers Anatomically Aligned Brain Reaction Maps. [PDF]

Neuroinformatics
Mendico C.
europepmc   +1 more source

Burden of Nutritional Deficiencies: A Systematic Analysis for the GBD 2021. [PDF]

Health Sci Rep
Nong S, Deng R, Zhang X.
europepmc   +1 more source

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Efficiency measurement in the stochastic frontier model

European Journal of Operational Research, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John Ruggiero, Jan Ondrich
exaly   +3 more sources

A stochastic frontier regression model with dynamic frontier

Communications in Statistics - Simulation and Computation, 2020
We consider a stochastic frontier regression model with a time dependent efficiency process, which is assumed to follow an exponential autoregressive sequence.
T. V. Ramanathan, Neelabh Rohan, Bovas Abraham   +2 more
openaire   +2 more sources

Stochastic Frontier Analysis

2000
Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions.
Kumbhakar, Subal C., Lovell, C.A. Knox
openaire   +3 more sources

Bounded rationality and thick frontiers in stochastic frontier analysis

European Journal of Operational Research, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Dynamic quantile stochastic frontier models

International Journal of Hospitality Management, 2020
This paper introduces the concept of dynamic quantile regression to the context of stochastic frontier models. We develop a Dynamic Quantile Stochastic Frontier (DQSF) in a Bayesian framework to take into account possible shifts of production (i.e. outputs) over time.
Assaf, A. George, Tsionas, Mike G., Kock, Florian   +2 more
openaire   +1 more source

Stochastic panel frontiers: A semiparametric approach [PDF]

Journal of Econometrics, 1998
This paper complements the results of Hausman and Taylor (1981) and Cornwell, Schmidt and Sickles (1990) and generalizes Park and Simar (1994) by examining the semiparametric efficient estimation of panel models in which the random effects and the regressors have certain patterns of correlation.
PARK, Byeong U., SICKLES, Robin C., SIMAR, Léopold   +2 more
openaire   +2 more sources