03002oam 2200781 450 991071179350332120210916134020.0(CKB)5470000002486132(OCoLC)1079910702(EXLCZ)99547000000248613220181221d2018 ua 0engurgn|||||||||txtrdacontentcrdamediacrrdacarrierThe benefits of a deregulatory agenda examples from pioneering governments : joint hearing before the Subcommittee on Intergovernmental Affairs and the Subcommittee on Healthcare, Benefits, and Administrative Rules of the Committee on Oversight and Government Reform, House of Representatives, One Hundred Fifteenth Congress, second session, September 27, 2018Washington :U.S. Government Publishing Office,2018.1 online resource (v, 105 pages) illustrations"Serial no. 115-108."Includes bibliographical references.Benefits of a deregulatory agenda DeregulationUnited StatesAdministrative regulation draftingEconomic aspectsUnited StatesGovernment paperworkEconomic aspectsUnited StatesAdministrative agenciesUnited StatesRules and practiceEconomic developmentUnited StatesDeregulationBritish ColumbiaAdministrative regulation draftingBritish ColumbiaAdministrative agenciesfastAdministrative regulation draftingfastDeregulationfastEconomic developmentfastGovernment paperworkEconomic aspectsfastBritish ColumbiafastUnited StatesfastLegislative hearings.fastRules.fastLegislative hearings.lcgftDeregulationAdministrative regulation draftingEconomic aspectsGovernment paperworkEconomic aspectsAdministrative agenciesEconomic developmentDeregulationAdministrative regulation draftingAdministrative agencies.Administrative regulation drafting.Deregulation.Economic development.Government paperworkEconomic aspects.United States.Congress.House.Committee on Oversight and Government Reform.Subcommittee on Health Care, Benefits, and Administrative Rules,GPOGPOMERUCGPOIADOCLCOUPMOCLCFSOIDWPOCLCQGPOBOOK9910711793503321The benefits of a deregulatory agenda3441078UNINA03905nam 22007215 450 991025408920332120200704121002.03-319-26911-910.1007/978-3-319-26911-5(CKB)3710000000588175(EBL)4388663(SSID)ssj0001654163(PQKBManifestationID)16433426(PQKBTitleCode)TC0001654163(PQKBWorkID)14982312(PQKB)11458697(DE-He213)978-3-319-26911-5(MiAaPQ)EBC4388663(PPN)192221213(EXLCZ)99371000000058817520160202d2016 u| 0engur|n|---|||||txtccrStochastic Neuron Models /by Priscilla E. Greenwood, Lawrence M. Ward1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (82 p.)Stochastics in Biological Systems,2364-2297 ;1.5Description based upon print version of record.3-319-26909-7 Includes bibliographical references and index.Introduction -- Single Neuron Models -- Population and Subpopulation Models -- Spatially-structured Neural Systems -- The Bigger Picture.This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons. The necessary neuroscience background to these problems is outlined within the text, so readers can grasp the context in which they arise. This book will be useful for graduate students and instructors providing material and references for applying probability to stochastic neuron modeling. Methods and results are presented, but the emphasis is on questions where additional stochastic analysis may contribute neuroscience insight. An extensive bibliography is included. Dr. Priscilla E. Greenwood is a Professor Emerita in the Department of Mathematics at the University of British Columbia. Dr. Lawrence M. Ward is a Professor in the Department of Psychology and the Brain Research Centre at the University of British Columbia.Stochastics in Biological Systems,2364-2297 ;1.5BiomathematicsProbabilitiesNeurosciencesStatisticsPhysiological, Cellular and Medical Topicshttps://scigraph.springernature.com/ontologies/product-market-codes/M31020Probability Theory and Stochastic Processeshttps://scigraph.springernature.com/ontologies/product-market-codes/M27004Neuroscienceshttps://scigraph.springernature.com/ontologies/product-market-codes/B18006Statistics for Life Sciences, Medicine, Health Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17030Biomathematics.Probabilities.Neurosciences.Statistics.Physiological, Cellular and Medical Topics.Probability Theory and Stochastic Processes.Neurosciences.Statistics for Life Sciences, Medicine, Health Sciences.573.8536Greenwood Priscilla Eauthttp://id.loc.gov/vocabulary/relators/aut253222Ward Lawrence Mauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254089203321Stochastic Neuron Models2004683UNINA