
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>On multivariable cumulant polynomial sequences with applications</dc:title>
  <dc:title>AS2015 Special Issue articles: This issue includes a series of papers from talks, posters and collaborations resulting from and inspired
by the Algebraic Statistics Conference held in Genoa, Italy, in June 2015. Special issue guest editors: Piotr
Zwiernik and Fabio Rapallo.</dc:title>
  <dc:subject>multi-index partition</dc:subject>
  <dc:subject>cumulant</dc:subject>
  <dc:subject>generating function</dc:subject>
  <dc:subject>formal power series</dc:subject>
  <dc:subject>Lévy process</dc:subject>
  <dc:subject>exponential model</dc:subject>
  <dc:description>A new family of polynomials, called cumulant polynomial sequence, and its extension to the multivariate case is introduced relying on a purely symbolic combinatorial method. The coefficients are cumulants, but depending on what is plugged in the indeterminates, moment sequences can be recovered as well. The main tool is a formal generalization of random sums, when a not necessarily integer-valued multivariate random index is considered. Applications are given within parameter estimations, L ?evy processes and random matrices and, more generally, problems involving multivariate functions. The connection between exponential models and multivariable Sheffer polynomial sequences offers a different viewpoint in employing the method. Some open problems end the paper.</dc:description>
  <dc:contributor>Di Nardo, Elvira</dc:contributor>
  <dc:date>2016</dc:date>
  <dc:date>2016-07-12</dc:date>
  <dc:type>Article</dc:type>
  <dc:format></dc:format>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>islandora:1007807</dc:identifier>
  <dc:identifier>http://hdl.handle.net/10560/islandora:1007807</dc:identifier>
  <dc:source>MATH / Applied Mathematics</dc:source>
  <dc:source>Illinois Institute of Technology</dc:source>
  <dc:source>Journal of Algebraic Statistics</dc:source>
  <dc:language>en</dc:language>
  <dc:rights>Open Access</dc:rights>
</oai_dc:dc>
