Results 251 to 260 of about 11,879,570 (313)
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Sequential random sampling

ACM Transactions on Mathematical Software, 1985
Fast algorithms for selecting a random set of exactly k records from a file of n records are constructed. Selection is sequential: the sample records are chosen in the same order in which they occur in the file. All procedures run in O(k) time.
Joachim H. Ahrens, Ulrich Dieter
openaire   +2 more sources

Ranking and selection for terminating simulation under sequential sampling

IISE Transactions, 2020
This research develops an efficient ranking and selection procedure to select the best design for terminating simulation under sequential sampling. This approach enables us to obtain an accurate estimate of the mean performance at a particular point ...
Hui Xiao   +4 more
semanticscholar   +1 more source

Rare event estimation with sequential directional importance sampling

Structural Safety, 2022
In this paper, we propose a sequential directional importance sampling (SDIS) method for rare event estimation. SDIS expresses a small failure probability in terms of a sequence of auxiliary failure probabilities, defined by magnifying the input ...
Kai Cheng   +4 more
semanticscholar   +1 more source

Accounting for attention in sequential sampling models of decision making.

Current Opinion in Psychology, 2019
When making decisions, people tend to shift their attention back and forth between stimuli, choosing options that they look at more overall and immediately before their responses. These relationships, and others, are well-described by sequential sampling
I. Krajbich
semanticscholar   +1 more source

A double-sequential sampling scheme

Communications in Statistics - Theory and Methods, 2020
In this article, we have developed a new sequential sampling scheme, called the double-sequential sampling scheme, in which sampling is proceeded k-at-a-time ( ) part of way, and then one-at-a-time sequentially.
Jun Hu
semanticscholar   +1 more source

Improved sequential sampling for meta-modeling promotes design optimization of SWATH

, 2020
This paper proposes an improved sequential sampling approach for meta-modeling to surrogate computationally expensive simulations during the SWATH design optimization.
Qu Yang, Yan Lin, Guan Guan
semanticscholar   +1 more source

A Multiply-Sequential Sampling Scheme

Journal of Statistical Theory and Practice, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Scalable Equilibrium Sampling with Sequential Boltzmann Generators

International Conference on Machine Learning
Scalable sampling of molecular states in thermodynamic equilibrium is a long-standing challenge in statistical physics. Boltzmann generators tackle this problem by pairing normalizing flows with importance sampling to obtain uncorrelated samples under ...
Charlie B. Tan   +5 more
semanticscholar   +1 more source

Efficient reliability analysis based on adaptive sequential sampling design and cross-validation

Applied Mathematical Modelling, 2018
Surrogate-models have proven to be an effective strategy for structural systems with expensive-to-evaluate simulations and are very useful for structural reliability analysis.
N. Xiao, M. Zuo, W. Guo
semanticscholar   +1 more source

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