<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Mathematical and statistical methods for actuarial sciences and finance</title>
    <subTitle>MAF 2018</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Corazza, Marco.</namePart>
    <role>
      <roleTerm type="text">ed.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Durban, Maria.</namePart>
    <role>
      <roleTerm type="text">ed.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Grane, Aurea.</namePart>
    <role>
      <roleTerm type="text">ed.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Perna, Cira.</namePart>
    <role>
      <roleTerm type="text">ed.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Sibillo, Marilena.</namePart>
    <role>
      <roleTerm type="text">ed.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">sz</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Cham</placeTerm>
    </place>
    <publisher>Springer</publisher>
    <dateIssued>2018</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>xvi, 518 p. :  ill. (some col.) ;  24 cm.</extent>
  </physicalDescription>
  <abstract>This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance", held in Paris (France) at the Université Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field, one that yields unique  theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest. This volume is addressed to academicians, researchers, Ph.D. students and professionals.</abstract>
  <note type="statement of responsibility">edited by Marco Corazza ...[et al.].</note>
  <note>Includes bibliographical references.</note>
  <subject authority="lcsh">
    <topic>Econometrics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Mathematical optimization</topic>
  </subject>
  <classification authority="ddc">330.015195 MAT</classification>
  <relatedItem type="otherFormat" displayLabel="Print version:">
    <titleInfo>
      <title>Mathematical and statistical methods for actuarial sciences and finance : MAF 2016</title>
    </titleInfo>
    <identifier type="local">(DLC)  2017962872</identifier>
  </relatedItem>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <identifier type="isbn">9783319898230 (hbk)</identifier>
  <identifier type="lccn">2019753220</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">DLC</recordContentSource>
    <recordCreationDate encoding="marc">171229</recordCreationDate>
    <recordChangeDate encoding="iso8601">20220927120930.0</recordChangeDate>
    <recordIdentifier source="BD-DhUL">21735525</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
