A New Intelligent Method for Eliminating Unknown (Nuisance) Parameters from Underlying Models as an Alternative to the Bayesian Approach

Nikolajs Nečvaļs; Nechval N. A.; Gundars Bērziņš; K. N. Nechval; Berzins G.; Zh. Tsaurkubule; M. Moldovan

doi:10.26855/jamc.2022.03.008

A New Intelligent Method for Eliminating Unknown (Nuisance) Parameters from Underlying Models as an Alternative to the Bayesian Approach

Nikolajs Nečvaļs
, Nechval N. A.
, Gundars Bērziņš
, K. N. Nechval
, Berzins G.
, Zh. Tsaurkubule
, M. Moldovan

Zinātniskās darbības rezultāts: Devums žurnālam › Zinātniskais raksts (žurnālā) › koleģiāli recenzēts

Oriģinālvaloda	Angļu
Lapas (no-līdz)	53-65
Žurnāls	Journal of Applied Mathematics and Computation
Sējums	6
Izdevuma numurs	1
DOIs	https://doi.org/10.26855/jamc.2022.03.008
Publikācijas statuss	Publicēts - 2022

OECD Zinātnes nozare

1.1 Matemātika

Piekļuve Dokumentiem

10.26855/jamc.2022.03.008

Citi faili un saites

https://www.hillpublisher.com/UpFile/202203/20220301171135.pdf

Citēt šo

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year = "2022",

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journal = "Journal of Applied Mathematics and Computation",

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A New Intelligent Method for Eliminating Unknown (Nuisance) Parameters from Underlying Models as an Alternative to the Bayesian Approach. / Nečvaļs, Nikolajs; N. A., Nechval; Bērziņš, Gundars u.c.
(gadā): Journal of Applied Mathematics and Computation, Sēj. 6, Nr. 1, 2022, lpp. 53-65.

Zinātniskās darbības rezultāts: Devums žurnālam › Zinātniskais raksts (žurnālā) › koleģiāli recenzēts

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AU - Nečvaļs, Nikolajs

AU - N. A., Nechval

AU - Bērziņš, Gundars

AU - N. Nechval, K.

AU - G., Berzins

AU - Tsaurkubule, Zh.

AU - Moldovan, M.

PY - 2022

Y1 - 2022

UR - https://www.hillpublisher.com/UpFile/202203/20220301171135.pdf

U2 - 10.26855/jamc.2022.03.008

DO - 10.26855/jamc.2022.03.008

M3 - Article

SN - 2576-0645

VL - 6

SP - 53

EP - 65

JO - Journal of Applied Mathematics and Computation

JF - Journal of Applied Mathematics and Computation

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