Results 61 to 70 of about 13,877 (197)

Sequential Outlier Detection in Nonstationary Time Series

Journal of Time Series Analysis, EarlyView.
ABSTRACT A novel method for sequential outlier detection in nonstationary time series is proposed. The method tests the null hypothesis of “no outlier” at each time point, addressing the multiple testing problem by bounding the error probability of successive tests, using extreme‐value theory. The asymptotic properties of the test statistic are studied
Florian Heinrichs, Patrick Bastian, Holger Dette   +2 more
wiley   +1 more source

ARIMA model for predicting chronic kidney disease and estimating its economic burden in China. [PDF]

BMC Public Health, 2022
Jian Y, Zhu D, Zhou D, Li N, Du H, Dong X, Fu X, Tao D, Han B.   +8 more
europepmc   +1 more source

Sparse Causal Dynamic Linear Regression

Journal of Time Series Analysis, EarlyView.
ABSTRACT We develop a sparse causal dynamic regression framework for long multivariate time series. With very long time series, the potentially large number of lags and leads in a dynamic regression model often makes time‐domain estimation numerically unstable or intractable.
Rui Huang, Kung‐Sik Chan
wiley   +1 more source

Patent landscape analysis of inventions based on plant genetic resources for food and agriculture and related digital sequence information

The Journal of World Intellectual Property, EarlyView.
Abstract This article provides an overview of the patent landscape in relation to PGRFA‐based inventions involving naturally occurring (“native”) traits and related Digital Sequence Information/Genetic Sequence Data (DSI/GSD). In particular, it focuses on the potential of patent claims to limit others' uses of PGRFA and related DSI/GSD on which the ...
Claudio Chiarolla, Michael Andreas Kock, Paul Oldham, Michael Halewood, Isabel López Noriega, Jasmine Kindness   +5 more
wiley   +1 more source

Maternal effects on recruitment of five gadoid species

Marine Ecology, EarlyView.
Abstract Commercial fishing is almost always non‐random and generally removes large and old individuals from fish stocks, thereby reducing age diversity among spawners. Reduced age diversity may result in less stable recruitment. Here, we explore the influence of age diversity (H), mean age of the spawning stock (MA) and sea surface temperature (SST ...
Ingibjörg G. Jónsdóttir, Jón Sólmundsson, Jónas P. Jonasson, Pamela J. Woods   +3 more
wiley   +1 more source

Epidemiological and Time Series Analysis of Tuberculosis with Prediction during COVID-19 Pandemic using ARIMA Model: A Study from Churu District of Rajasthan. [PDF]

Indian J Community Med, 2023
Singh RK, Panwar R, Choudhary K, Matta S, Pant A.   +4 more
europepmc   +1 more source

Comparative genomics reveals lineage‐associated structural variation and diversification in a barley fungal pathogen

New Phytologist, EarlyView.
Genome‐wide copy‐number variation landscape highlights structural divergence across Puccinia hordei isolates and potentially links Cyp51 amplification to fungicide insensitivity. Summary Leaf rust, caused by Puccinia hordei, is a major barley disease worldwide.
Xiaohui Yu, Mumta Chhetri, Mafruha Hasan, Thomas H. Roberts, Peng Zhang, Robert F. Park, Yi Ding   +6 more
wiley   +1 more source

Predicting monthly hospital outpatient visits based on meteorological environmental factors using the ARIMA model. [PDF]

Sci Rep, 2023
Bai L, Lu K, Dong Y, Wang X, Gong Y, Xia Y, Wang X, Chen L, Yan S, Tang Z, Li C.   +10 more
europepmc   +1 more source

Forecasting Wheat Production in Libya Using ARIMA Model-ARIMA

مجلة آفاق للدراسات الإنسانية والتطبيقية
The wheat crop is a strategic crop in Libya as a food crop and a raw material for some food industries. The study aimed to predict the amount of wheat production in context of Libya during the next six years from 2023-2028. The Auto-regressive Integrated Moving Average (ARIMA) model has been used and relied on Food and Agriculture Organization data ...
openaire   +1 more source

What Are The Drivers of Labour Productivity in Italy?

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT This paper introduces a novel sign restriction identification within a structural Bayesian vector autoregression (VAR) to analyse how labour productivity responds to supply and demand shocks and to quantify the contribution of shocks to cyclical fluctuations.
Josué Diwambuena, Francesco Ravazzolo
wiley   +1 more source