Results 261 to 270 of about 3,150,781 (375)

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

SPATIAL AUTOCORRELATION ANALYSIS OF PULMONARY TUBERCULOSIS CASES IN CENTRAL JAVA PROVINCE

Puspita Septiani
openalex   +1 more source

Forecasting House Prices: The Role of Market Interconnectedness

Journal of Forecasting, EarlyView.
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen, George Milunovich, Shuping Shi, Ben Wang   +3 more
wiley   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

An upgraded high-precision gridded precipitation dataset for the Chinese mainland considering spatial autocorrelation and covariates [PDF]

Jinlong Hu, Chiyuan Miao, Jiajia Su, Qi Zhang, Jiaojiao Gou, Qiaohong Sun   +5 more
openalex   +1 more source

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares

Journal of Forecasting, EarlyView.
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley   +1 more source

[A Study on Spatial Autocorrelation according to the Geographical Distribution of Major Health Indicators: Focusing on Regional Units in Chungcheong Province]. [PDF]

Jugan Geongang Gwa Jilbyeong
Lee G, Park M, Kim E, Lim S, Kang S, Kim S, Kim E, Kim J.   +7 more
europepmc   +1 more source

Spatial autocorrelation and epidemiological survey of visceral leishmaniasis in an endemic area of Azerbaijan region, the northwest of Iran. [PDF]

PLoS One, 2020
Adham D, Moradi-Asl E, Dorosti A, Khaiatzadeh S.   +3 more
europepmc   +1 more source

Notable Impact of Paleotectonic Stress on Gold Mineralisation in the West Qinling Orogen

Geological Journal, EarlyView.
By applying fuzzy clustering and multiple inverse methods, we systematically processed the data of vein and fault slip in this ore deposit to reveal the transition of orogenic geological environment and paleotectonic stress field. Our research results show two different stress states: the northwest–southeast extensional stress field and the northeast ...
Hongyan Wang, Aibing Chen, Jian Yang, Yuan Zhang   +3 more
wiley   +1 more source

Spatial autocorrelation and hotspot dynamics of multidrug-resistant tuberculosis in Uganda: a district-level LISA analysis

Akello SR, Alunyo JP, Matovu JK, Emetu J, Mugasha E, Paasi G, Okibure A, Mukunya D, Olupot-Olupot P.   +8 more
europepmc   +1 more source