Results 271 to 280 of about 72,436 (339)

News media coverage and the predictability of house prices

Real Estate Economics, EarlyView.
Abstract This article introduces new housing‐media‐attention indices for the 50 U.S. states based on the Bloomberg Terminal News Trends (NT) function, which collects articles from various news and social media sources and identifies their content using artificial intelligence tools.
Oguzhan Cepni
wiley   +1 more source

Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models. [PDF]

PLoS One, 2018
Baquero OS, Santana LMR, Chiaravalloti-Neto F.   +2 more
europepmc   +1 more source

Penerapan Autoregressive Integrated Moving Average untuk Prediksi Inflasi Kabupaten Jember

Niken Abellia, Marizsa Herlina
openalex   +2 more sources

animal2vec and MeerKAT: A self‐supervised transformer for rare‐event raw audio input and a large‐scale reference dataset for bioacoustics

Methods in Ecology and Evolution, EarlyView.
Abstract Bioacoustic research, vital for promoting conservation and understanding animal behaviour and ecology, faces a monumental challenge: analysing vast datasets where animal vocalizations are rare. While deep learning techniques are becoming standard, adapting them to bioacoustics remains difficult.
Julian C. Schäfer‐Zimmermann, Vlad Demartsev, Baptiste Averly, Kiran L. Dhanjal‐Adams, Mathieu Duteil, Gabriella Gall, Marius Faiß, Lily Johnson‐Ulrich, Dan Stowell, Marta B. Manser, Marie A. Roch, Ariana Strandburg‐Peshkin   +11 more
wiley   +1 more source

Evolving trajectories of COVID-19 curves in India: Prediction using autoregressive integrated moving average modeling.

, 2020
Bhandari S, Tak A, Gupta J, Patel B, Shukla J, Shaktawat AS, Singhal S, Saini A, Kakkar S, Dube A, Dia S, Dia M, Wehner TC.   +12 more
europepmc   +1 more source

Application of a combined model with seasonal autoregressive integrated moving average and support vector regression in forecasting hand-foot-mouth disease incidence in Wuhan, China. [PDF]

Medicine (Baltimore), 2019
Zou JJ, Jiang GF, Xie XX, Huang J, Yang XB.   +4 more
europepmc   +1 more source

Perbandingan Metode Seasonal Autoregressive Integrated Moving Average (SARIMA) dan Extreme Learning Machine (ELM) pada Peramalan Peredaran Uang Kartal di Indonesia

Afita Ulya Pratiwi, Etik Zukhronah, İsnandar Slamet   +2 more
openalex   +1 more source

Efficient statistical inference of turning points in animal movement data

Methods in Ecology and Evolution, EarlyView.
Abstract Recent years have seen a proliferation of high‐frequency animal movement data, often at greater than 1 Hz, allowing us to gain much greater insight into behaviour than with lower frequency data. In particular, it is becoming possible to detect the precise points at which animals are making decisions to turn, thus placing the idea that the ...
Abdulmajeed F. Alharbi, Paul G. Blackwell, Abdulaziz Alagaili, Nigel C. Bennett, David Michael Scantlebury, Jonathan R. Potts   +5 more
wiley   +1 more source

A new Seasonal Difference Space-Time Autoregressive Integrated Moving Average (SD-STARIMA) model and spatiotemporal trend prediction analysis for Hemorrhagic Fever with Renal Syndrome (HFRS). [PDF]

PLoS One, 2018
Zhao Y, Ge L, Zhou Y, Sun Z, Zheng E, Wang X, Huang Y, Cheng H.   +7 more
europepmc   +1 more source

Sample size requirements to evaluate policies in addiction research using interrupted time series analysis (ITS): Tools and guidance

Addiction, EarlyView.
Abstract Formal power calculations are rarely presented in interrupted time‐series (ITS) studies due to their technical complexity, creating a significant gap in methodological rigor. This paper aimed to make power and sample size determination more accessible for researchers, particularly in the field of addiction, by providing a suite of practical ...
Emma Beard, Jamie Brown, Lion Shahab
wiley   +1 more source