Results 81 to 90 of about 412,561 (324)
Clinical and epidemiological rounds. Time series
Iatreia, 2016 Analysis of time series is a technique that implicates the study of individuals or groups observed in successive moments in time. This type of analysis allows the study of potential causal relationships between different variables that change over time ...
León-Álvarez, Alba Luz +3 more
doaj +1 more source
Comparative Analysis of Machine Learning Models for Predicting Travel Time [PDF]
arXiv, 2021 In this paper, five different deep learning models are being compared for predicting travel time. These models are autoregressive integrated moving average (ARIMA) model, recurrent neural network (RNN) model, autoregressive (AR) model, Long-short term memory (LSTM) model, and gated recurrent units (GRU) model.
arxiv
CPL‐Diff: A Diffusion Model for De Novo Design of Functional Peptide Sequences with Fixed Length
Advanced Science, EarlyView.This study presents a diffusion model for generating functional peptide sequence lengths using mask control. The model can generate antimicrobial, antifungal, and antiviral peptides with specific lengths on demand. The model learns the structure of peptides better and generates peptides with better physicochemical properties, and the model has good ...
Zhenjie Luo +5 more
wiley +1 more source
Autoregressive – spectrally integrated moving average model
Technology audit and production reserves, 2014 В статье рассматривается развитие метода Бокса-Дженкинса, основанное на совместном использовании идей методов «Гусеница»-SSA и Бокса-Дженкинса. Предложена модель авторегрессии – спектрально проинтегрированного скользящего среднего, реализующая трендовый подход, который заключается в моделировании процесса как отклонения фактических значений ...
openaire +3 more sources
Computational aspects of maximum likelihood estimation of autoregressive fractionally integrated moving average models [PDF]
Computational Statistics & Data Analysis, 2003 Computational aspects of likelihood-based estimation of univariate ARFIMA (p,d,q) models are addressed. Particular issues are the numerically stable evaluation of the autocovariances and efficient handling of the variance matrix which has dimension equal to the sample size.
Jurgen A. Doornik, Marius Ooms
openaire +3 more sources
Advanced Energy and Sustainability Research, EarlyView.It is very difficult to predict spot prices in Japan, where solar power generation has entered the market. Herein, It is attempted to predict the timing of sudden price changes by using price sensitivity, which will begin to be made public in 2021. The impact of price sensitivity on forecasting will be examined by making other variables general.
Shinji Hirota +4 more
wiley +1 more source
Forecasting exports and imports through artificial neural network and autoregressive integrated moving average [PDF]
Decision Science Letters, 2019 Nowadays, Saudi government has established several strategic tactics such as Saudi Vision 2030 to predict the future of the country. In order to accomplish a superior growth in the economy of the country, mathematical model and forecasting techniques are
Teg Alam
doaj +1 more source
Product differentiation in the fruit industry: Lessons from trademarked apples
Agribusiness, EarlyView.Abstract We derive price premiums for patented or trademarked apple varieties, also known as “club apples,” compared to open‐variety apples. We use an expansive retail scanner dataset, along with unique data on apple taste characteristics, to estimate monthly club apple premiums for 2008–2018.
Modhurima Dey Amin +3 more
wiley +1 more source
Journal of Applied Econometrics, Volume 37, Issue 7, Page 1379-1402, November/December 2022., 2022 Summary We analyze the evolution of earnings mobility in Germany between 2011 and 2018. We use transition matrices and parametric and semi‐nonparametric copula models to assess the impact of the introduction of the national minimum wage on January 1, 2015, on individual positional persistence in the wage distribution.
Costanza Naguib
wiley +1 more source
The Effect of Macroeconomic Variables On Stock Returns on Dhaka Stock Exchange [PDF]
International Journal of Economics and Financial Issues, 2012 This article investigates the effects of macroeconomic variables of treasury bill interest rate and industrial production on stock returns on Dhaka Stock Exchange for the period between January 2000 and February 2007 on the basis of monthly time series ...
Muhammed Monjurul Quadir
doaj +1 more source