Results 101 to 110 of about 9,395,905 (186)
This study investigates the possibility of designing and implementing a Linear Parameter Varying controller with H infinity performance criteria integrated into the synthesis of the controller for a spacecraft undergoing a large angle maneuver about its ...
Hughes, Hunter
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Large-parameter asymptotics of generalized Hastings–McLeod functions
Abstract The generalized Hastings–McLeod solutions to the inhomogeneous Painlevé-II equation arise in multi-critical unitary random matrix ensembles, the chiral two-matrix model for rectangular matrices, non-intersecting squared Bessel paths, and non-intersecting Brownian bridges on the circle.
Schmidt, Kurt, Buckingham, Robert
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Calibrating Behavioral Parameters with Large Language Models
Behavioral parameters such as loss aversion, herding, and extrapolation are central to asset pricing models but remain difficult to measure reliably. We develop a framework that treats large language models (LLMs) as calibrated measurement instruments for behavioral parameters.
Brandon Yee, Krishna Sharma
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A Deep‐Learning Based Parameter Inversion Framework for Large‐Scale Groundwater Models
Hydrogeologic models generally require gridded subsurface properties, however these inputs are often difficult to obtain and highly uncertain. Parametrizing computationally expensive models where extensive calibration is computationally infeasible is a ...
Amanda Triplett +4 more
doaj +1 more source
On parameter estimation for locally stationary long-memory processes [PDF]
We consider parameter estimation for time-dependent locally stationary long-memory processes. The asymptotic distribution of an estimator based on the local infinite autoregressive representation is derived, and asymptotic formulas for the mean squared ...
Jan Beran
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Two-parameter locus of boundary crisis: mind the gaps! [PDF]
Boundary crisis is a mechanism for destroying a chaotic attractor when one parameter is varied. In a two-parameter setting the locus of boundary crisis is associated with curves of homo- or heteroclinic tangency bifurcations of saddle periodic orbits. It
Osinga, Hinke M, Rankin, J
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Comparison of Robust and Varying Parameter Estimates of a Macroeconometric Model [PDF]
Four estimators of econometric models are compared for predictive accuracy. Two estimators assume that the parameters of the equations are subject to variation over time.
Thomas F. Cooley
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Parameter-efficient fine-tuning of large language models using semantic knowledge tuning
Large Language Models (LLMs) are gaining significant popularity in recent years for specialized tasks using prompts due to their low computational cost. Standard methods like prefix tuning utilize special, modifiable tokens that lack semantic meaning and
Nusrat Jahan Prottasha +6 more
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Estimation of the long memory parameter in non stationary models: A Simulation Study [PDF]
In this paper we perform a Monte Carlo study based on three well-known semiparametric estimates for the long memory fractional parameter. We study the efficiency of Geweke and Porter-Hudak, Gaussian semiparametric and wavelet Ordinary Least-Square ...
Mohamed Boutahar, Rabeh Khalfaoui2
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Parameter Estimation of Exciation Systems
LAI, JUMING. Parameter Estimation of Excitation Systems. (Under the direction of Mesut E. Baran) The purpose of the research has been to develop a methodology to simplify the process of parameter estimation of excitation systems. There are two parts in
Lai, Juming
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