Results 81 to 90 of about 21,185 (243)
Automated Bandwidth Selection for Inference in Linear Models With Time‐Varying Coefficients
Journal of Time Series Analysis, EarlyView.ABSTRACT The problem of selecting the smoothing parameter, or bandwidth, for kernel‐based estimators of time‐varying coefficients in linear models with possibly endogenous explanatory variables is considered. We examine automated bandwidth selection by means of cross‐validation, a nonparametric variant of Akaike's information criterion, and bootstrap ...
Charisios Grivas, Zacharias Psaradakis
wiley +1 more source
Multivariate ARIMA and ARIMA-X Analysis:Package ‘marima’ [PDF]
, 2016 Multivariate arima and arima-x estimation using Spliid's algorithm.
openaire
Online Detection of Forecast Model Inadequacies Using Forecast Errors
Journal of Time Series Analysis, EarlyView.ABSTRACT In many organizations, accurate forecasts are essential for making informed decisions in a variety of applications, from inventory management to staffing optimization. Whatever forecasting model is used, changes in the underlying process can lead to inaccurate forecasts, which will be damaging to decision‐making.
Thomas Grundy +2 more
wiley +1 more source
Open Veterinary JournalBackground: Milk considered one of the most important capital goods and essential source of animal protein in the diet of Egyptian family, as well as an effective mean to improve economic condition of farmers, considering this importance in view, the ...
Mohamed A. Omar +3 more
doaj +1 more source
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 +2 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 +3 more
wiley +1 more source
مجله اپیدمیولوژی ایران, 2021 Background and Objectives: Investigation of child mortality is one of the most important strategies for improving childrenchr('39')s health. The purpose of this study was to investigate the age distribution, trends, and projections of mortality in ...
MT Shakeri +5 more
doaj
New Phytologist, EarlyView.Summary Arbuscular mycorrhizal fungi (AMF) are widespread plant symbionts that enhance nutrient acquisition and influence ecosystem productivity. Previous chromosome‐level assemblies of the model species Rhizophagus irregularis revealed a two‐compartment genome architecture (active A and repressed B chromatin compartments), yet its conservation across ...
Ken Mugambi +10 more
wiley +1 more source
Plant Biotechnology Journal, EarlyView.ABSTRACT A key challenge for the genetic improvement of canola (Brassica napus), one of the world's most important oilseeds, is the limited natural variation for commercially important traits. The creation of new variation is hindered by the lack of functional knowledge about genes controlling these traits.
Morgan W. Kirzinger +30 more
wiley +1 more source
Economics and CultureThis study analysed the three cryptocurrencies with the largest market capitalization: Bitcoin, Ether (cryptocurrency built upon the Ethereum project's blockchain technology), and Binance coin, which account for 60% of the total cryptocurrency market ...
Peciulis Tomas, Vasiliauskaite Asta
doaj +1 more source