Results 161 to 170 of about 2,435 (235)
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
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 +3 more
wiley +1 more source
The Rényi Entropies Operate in Positive Semifields. [PDF]
Valverde-Albacete FJ, Peláez-Moreno C.
europepmc +1 more source
Forecasting House Prices: The Role of Market Interconnectedness
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 +3 more
wiley +1 more source
Medical image encryption algorithm based on a new five-dimensional multi-band multi-wing chaotic system and QR decomposition. [PDF]
Zhuang Z, Zhuang Z, Wang T.
europepmc +1 more source
Regime‐Dependent Nowcasting of the Austrian Economy
ABSTRACT We nowcast and forecast economic activity in Austria, namely, real gross domestic product (GDP), consumption, and investment, which are available at a quarterly frequency, using a preselected number of monthly indicators based on a combination of statistical procedures.
Jaroslava Hlouskova, Ines Fortin
wiley +1 more source
Overcoming Intensity Limits for Long-Distance Quantum Key Distribution. [PDF]
Almosallam I.
europepmc +1 more source
The review critically evaluated and compared the selected superfruit phytochemistry, their bioactive composition and the key health benefits majorly emphasizing the antioxidant potential. It has highlighted the translational challenges in formulating functional foods by addressing the issues related to delivery system, bioavailability mechanism and the
Sharath Kumar Nagaraja +3 more
wiley +1 more source
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago +3 more
wiley +1 more source

