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Statistical modeling using local Gau...

Otneim, Håkon,

Statistical modeling using local Gaussian approximation /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Statistical modeling using local Gaussian approximation /Dag Tjøstheim, Håkon Otneim, Bård Støve.
作者:	Tjøstheim, Dag,
其他作者:	Otneim, Håkon,
出版者:	London, United Kingdom ;Academic Press,c2022.
面頁冊數:	xv, 442 p. :ill. ;23 cm.
標題:	Statistics.
ISBN:	9780128158616 (pbk.) :

Statistical modeling using local Gaussian approximation /
Tjøstheim, Dag,

Statistical modeling using local Gaussian approximation /Dag Tjøstheim, Håkon Otneim, Bård Støve. - London, United Kingdom ;Academic Press,c2022. - xv, 442 p. :ill. ;23 cm.

Includes bibliographical references and indexes.

"Reviews local dependence modeling, with applications to time series and finance markets Introduces new techniques for density estimation, conditional density estimation, and tests of conditional independence with applications in economics Evaluates local spectral analysis, discovering hidden frequencies in extremes and hidden phase differences Integrates textual content with three useful R packages"--

ISBN: 9780128158616 (pbk.) :NT$3273

Nat. Bib. No.: GBC1G0751bnb

Nat. Bib. Agency Control No.: 020339723UkSubjects--Topical Terms:

182057
Statistics.

LC Class. No.: QA276 / .T56 2022

Dewey Class. No.: 519.5

Statistical modeling using local Gaussian approximation /
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020 $a 9780128158616 (pbk.) : $c NT$3273
020 $z 9780128154458 (ePub ebook)
035 $a (OCoLC)1272870684
035 $a on1272870684
040 $a UKMGB $b eng $c UKMGB $d OCLCO $d OCLCF $d YDX $d OCLCO
050 4 $a QA276 $b .T56 2022
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100 1 $a Tjøstheim, Dag, $e author. $3 913824
245 1 0 $a Statistical modeling using local Gaussian approximation / $c Dag Tjøstheim, Håkon Otneim, Bård Støve.
260 $a London, United Kingdom ; $a San Diego, CA, United States : $b Academic Press, $c c2022.
300 $a xv, 442 p. : $b ill. ; $c 23 cm.
504 $a Includes bibliographical references and indexes.
520 $a "Reviews local dependence modeling, with applications to time series and finance markets Introduces new techniques for density estimation, conditional density estimation, and tests of conditional independence with applications in economics Evaluates local spectral analysis, discovering hidden frequencies in extremes and hidden phase differences Integrates textual content with three useful R packages"-- $c Provided by publisher.
650 0 $a Statistics. $3 182057
650 0 $a Mathematical models. $3 182479
650 0 $a Gaussian distribution. $3 211128
650 0 $a Approximation theory. $3 185327
700 1 $a Otneim, Håkon, $e author. $3 913825
700 1 $a Støve, Bård, $e author. $3 913826
776 0 8 $i ebook version : $z 9780128154458