Search Results - subject:"hierarchical modeling"

Sophisticated and small versus simple and sizeable : when does it pay off to introduce drifting coefficients in Bayesian vector autoregressions?

Feldkircher, Martin; Gruber, Luis; Huber, Florian; … - In: Journal of forecasting 43 (2024) 6, pp. 2126-2145

Persistent link: https://www.econbiz.de/10015110374

Methods for combining probability and nonprobability samples under unknown overlaps

Savitsky, Terrance D.; Williams, Matthew R.; … - In: Statistics in transition : an international journal of … 24 (2023) 5, pp. 1-34

Nonprobability (convenience) samples are increasingly sought to reduce the estimation variance for one or more population variables of interest that are estimated using a randomized survey (reference) sample by increasing the effective sample size. Estimation of a population quantity derived...

Persistent link: https://www.econbiz.de/10015115145

A statistical learning approach to land valuation : optimizing the use of external information

Albouy, David; Shin, Minchul - 2022

Persistent link: https://www.econbiz.de/10013499597

A machine learning-enabled partially observable markov decision process framework for early sepsis prediction

Liu, Zeyu; Khojandi, Anahita; Li, Xueping; Mohammed, Akram - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 4, pp. 2039-2057

Persistent link: https://www.econbiz.de/10013362643

Do polycentric patterns influence the economic performance of municipalities? : empirical evidence from Russia

Krasnoselskaya, Dina; Timiryanova, Venera - In: Regional science policy and practice : RSPP 14 (2022) 5, pp. 1201-1222

Persistent link: https://www.econbiz.de/10013401899

Account-level analytic hierarchical mixing modeling for credit risk of Chinese Government financing vehicle portfolios

Liu, Chang; Zhang, Biqian; Wang, Xuefei; Guo, Min - In: Empirical economics : a quarterly journal of the … 62 (2022) 6, pp. 2771-2798

Persistent link: https://www.econbiz.de/10013197445

Stochastic model specification in Markov switching vector error correction models

Huber, Florian; Pfarrhofer, Michael; Zörner, Thomas O. - 2018

This paper proposes a hierarchical modeling approach to perform stochastic model specification in Markov switching …

Persistent link: https://www.econbiz.de/10012042472

Stochastic model specification in Markov switching vector error correction models

Huber, Florian; Pfarrhofer, Michael; Zörner, Thomas - 2018

This paper proposes a hierarchical modeling approach to perform stochastic model specification in Markov switching …

Persistent link: https://www.econbiz.de/10011929697

Sophisticated and small versus simple and sizeable : when does it pay off to introduce drifting coefficients

Feldkircher, Martin; Huber, Florian; Kastner, Gregor - 2018

Persistent link: https://www.econbiz.de/10011799559

A comparison of approaches to select the informativeness of priors in BVARs

Prüser, Jan; Hanck, Christoph - In: Jahrbücher für Nationalökonomie und Statistik 241 (2021) 4, pp. 501-525

Persistent link: https://www.econbiz.de/10012621573