Sequential Sampling and Estimation of Approximately Bandlimited Graph Signals [PDF]
Sensors, 2021 Graph signal sampling has been widely studied in recent years, but the accurate signal models required by most of the existing sampling methods are usually unavailable prior to any observations made in a practical environment. In this paper, a sequential
Sijie Lin, Ke Xu, Hui Feng, Bo Hu
doaj +2 more sources
Two-Step Sequential Sampling [PDF]
Statistica Neerlandica, 2002 Deciding upon the optimal sample size in advance is a difficult problem in general. Often, the investigator regrets not having drawn a larger sample; in many cases additional observations are done.
Moors, J.J.A., Strijbosch, L.W.G.
core +7 more sources
MaxEnt Queries and Sequential Sampling [PDF]
AIP Conference Proceedings, 2000 In this paper we pose the question: After gathering N data points, at what value of the control parameter should the next measurement be done? We propose an on-line algorithm which samples optimally by maximizing the gain in information on the ...
Caticha, Nestor, Riegler, Peter
core +2 more sources
Spatial distribution and fixed-precision sequential sampling plans for Popillia japonica (Coleoptera: Scarabaeidae) adults in primocane raspberry: influence of foliar insecticides [PDF]
Frontiers in Insect ScienceThe Japanese beetle, Popillia japonica Newman (Coleoptera: Scarabaeidae), an invasive species from northern Japan, was first detected in Minnesota in 1968.
Adam G. Toninato +2 more
doaj +2 more sources
Sequential sampling of visual objects during sustained attention. [PDF]
PLoS Biology, 2017 In a crowded visual scene, attention must be distributed efficiently and flexibly over time and space to accommodate different contexts. It is well established that selective attention enhances the corresponding neural responses, presumably implying that
Jianrong Jia +3 more
doaj +2 more sources
Sequential sampling strategy for extreme event statistics in nonlinear dynamical systems. [PDF]
Proc Natl Acad Sci U S A, 2018 We develop a method for the evaluation of extreme event statistics associated with nonlinear dynamical systems, using a small number of samples. From an initial dataset of design points, we formulate a sequential strategy that provides the 'next-best ...
Mohamad MA, Sapsis TP.
europepmc +2 more sources
Sequential sampling model for multiattribute choice alternatives with random attention time and processing order [PDF]
Frontiers in Human Neuroscience, 2014 A sequential sampling model for multiattribute binary choice options, called Multiattribute attention switching (MAAS) model, assumes a separate sampling process for each attribute.
Adele eDiederich, Peter eOswald
doaj +2 more sources
Choice-induced preference change under a sequential sampling model framework
Scientific ReportsSequential sampling models of choice, such as the drift–diffusion model (DDM), are frequently fit to empirical data to account for a variety of effects related to accuracy/consistency, response time (RT), and sometimes confidence.
Douglas G. Lee, Giovanni Pezzulo
doaj +2 more sources
A Sequential Design for Extreme Quantile Estimation Under Binary Sampling [PDF]
EntropyWe propose a sequential design method aiming at the estimation of an extreme quantile based on a sample of binary data corresponding to peaks over a given threshold.
Michel Broniatowski, Emilie Miranda
doaj +2 more sources
Multilevel Fixed and Sequential Acceptance Sampling: The R Package MFSAS [PDF]
Journal of Statistical Software, 2011 Multilevel acceptance sampling for attributes is used to decide whether a lot from an incoming shipment or outgoing production is accepted or rejected when the product has multiple levels of product quality or multiple types of (mutually exclusive ...
Aaron Childs, Yalin Chen
doaj +1 more source