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Preface
Advanced Mathematical Methodologies in Time Series
Forecasting via Fokker-Planck using conditional probabilities
Cryptanalysis of a Random Number Generator Based on a Chaotic Ring Oscillator
Further Results on Robust Multivariate Time Series Analysis in Nonlinear Models with Autoregressive and t-Distributed Errors
A New Estimation Technique for AR(1) Model with Long-tailed Symmetric Innovations
Prediction of High-Dimensional Time Series with Exogenous Variables Using Generalized Koopman Operator Framework in Reproducing Kernel Hilbert Space
Eigenvalues distribution limit of covariance matrices with AR processes entries
Computational Intelligence Methods for Time Series
Deep Learning for Detection of BGP Anomalies
Using Scaling Methods to Improve Support Vector Regression's Performance for Travel Time and Traffic Volume Predictions
Dimensionality Reduction and Similarity Measures in Time Series
Linear Trend Filtering via Adaptive Lasso
Detecting Discords in Quasi Periodic Time-series Data
A Case Study with Electrocardiogram Data
Similarity Analysis of Time Interval Data Sets
A Graph Theory Approach
Logical Comparison Measures in Classification of Data
Econometric Models
Asymptotic and Bootstrap Tests For a Change in Autoregression Omitting Variability Estimation
Distance Between VARMA Models and its Application to Spatial Differences Analysis in the Relationship GDP
Unemployment Growth Rate in Europe
Copulas for Modeling the Relationship between the Inflation and the Exchange Rates
Energy Time Series Forecasting
Fuel Consumption Estimation for Climbing Phase
Time Series Optimization for Energy Prediction in Wi-Fi Infrastructures
An econometric analysis of the merit order effect in electricity spot price: the Germany case
Forecasting in Real Problems
The analysis of variability of short data sets based on Mahalanobis distance calculation and surrogate time series testing
On generalized additive models with dependent time series covariates
A Bayesian Approach to Astronomical Time Delay Estimations
Further Results on a Modified EM Algorithm for Parameter Estimation in Linear Models with Time-Dependent Autoregressive and t-Distributed Errors.

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