{"subjects": ["Gaussian distribution", "Gaussian processes", "Theory of distributions (functional analysis)"], "key": "/works/OL19609367W", "title": "A practical guide to heavy tails", "authors": [{"type": {"key": "/type/author_role"}, "author": {"key": "/authors/OL897153A"}}], "type": {"key": "/type/work"}, "covers": [617203], "description": {"type": "/type/text", "value": "Aimed at the general practitioner, A Practical Guide to Heavy Tails is a unique collection of essays that is concerned primarily with a large number of techniques and approaches for data analysis.\n\nThe expository papers, all by distinguished experts, are intended for a wide audience from different disciplines. Thus, the papers run the gamut of applications of heavy-tailed modeling, e.g., telecommunications, the Web, insurance, finance. Along with specific applications are several papers devoted to time series analysis, regression, classical signal/noise detection problems, and the general structure of stable processes, viewed from a modeling standpoint."}, "latest_revision": 3, "revision": 3, "created": {"type": "/type/datetime", "value": "2019-04-09T16:01:28.042273"}, "last_modified": {"type": "/type/datetime", "value": "2024-07-11T08:34:38.452249"}}