What we look at in paintings: a comparison between experienced and inexperienced art viewers

DOI10.1214/16-AOAS921zbMath1400.62311arXiv1603.01066OpenAlexW2289393039WikidataQ109283152 ScholiaQ109283152MaRDI QIDQ312888

Anna-Kaisa Ylitalo, Aila Särkkä, Peter Guttorp

Publication date: 9 September 2016

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1603.01066

zbMATH Keywords

point processtransition probabilitycoverageintensityshift functionspatio-temporal point process

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) Applications of statistics to psychology (62P15)

Uses Software

• spatial
• pyuvdata

Cites Work

• Agents of change and the approximation of network outcomes: a simulation study
• Kernel estimation of relative risk
• A Kernel Method for Smoothing Point Process Data
• Plotting with confidence: Graphical comparisons of two populations
• Statistical Inference for Spatial Processes
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