Bayesian analysis offers a robust framework for deciphering the intricate dynamics of time series data. By treating unknown parameters as random variables, this approach incorporates prior information ...
Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 80, No. 2 (MARCH 2018), pp. 409-432 (24 pages) The paper presents a novel non-linear framework for the construction ...
1. Difference Equations -- 2. Lag Operators -- 3. Stationary ARMA Processes -- 4. Forecasting -- 5. Maximum Likelihood Estimation -- 6. Spectral Analysis -- 7 ...
This paper examines a bivariate count time series with some curious statistical features: Saffir–Simpson Category 3 and stronger annual hurricane counts in the North Atlantic and eastern Pacific Ocean ...
This course is available on the MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Financial Mathematics, MSc in Health Data Science, MSc in Marketing, MSc in Mathematics and ...
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