Results 251 to 260 of about 846,444 (289)

Discrete path sampling

Molecular Physics, 2002
A theoretical framework is developed for the calculation of rate constants by sampling connected pathways composed of local minima and transition states that link them together. The theory is applicable to two-state or effective two-state systems and is applied to permutational or morphological isomerization in a two-dimensional cluster of seven ...
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Sampling and Discrete Choice Analysis

The Professional Geographer, 1994
Samples used to estimate discrete choice models in geography and regional science are typically assumed to be simple random samples. This assumption is not always met with existing samples. Furthermore, data collection is usually less costly if a stratified sampling strategy is adopted.
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The discrete sampling variation measurement

Physics Letters A, 2000
The modification of the variation quantum measurement is considered, which allows to eliminate the main shortcoming of such a measurement — the meter hardware setup dependence on the signal shape and arrival time. This method is based on approximation of the signal by series of short rectangular “slices” and periodical applying the variation ...
S.L. Danilishin, F.Ya. Khalili, S.P. Vyatchanin   +2 more
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Sampling and the discretization theorem

Automation and Remote Control, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Discrete Small Sample Asymptotics

2014
Ph. D.
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Stabilization of Sampled-Data Systems With Noisy Sampling Intervals and Packet Dropouts via a Discrete-Time Approach

IEEE Transactions on Automatic Control, 2022
Zhipei Hu, Hongru Ren, Feiqi Deng
exaly  

Finite-time trajectory tracking control of dynamic positioning ship based on discrete-time sliding mode with decoupled sampling period

Ocean Engineering, 2023
Guorong Zhang
exaly  

Analytically pricing volatility swaps and volatility options with discrete sampling: Nonlinear payoff volatility derivatives

Communications in Nonlinear Science and Numerical Simulation, 2021
Sanae Rujivan, Udomsak Rakwongwan
exaly  

Continuous Discrete Sequential Observers for Time-Varying Systems Under Sampling and Input Delays

IEEE Transactions on Automatic Control, 2020
Frédéric Mazenc, Michael Malisoff
exaly  

Discrete Hamiltonian-assisted Hamiltonian sampling

Sampling from discrete distributions is a fundamental task in many statistical applications, with Markov Chain Monte Carlo (MCMC) being one of the primary approaches. We introduce two novel MCMC algorithms that address key challenges in efficient sampling from discrete spaces.
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