Probabilistic Framework For A Time Series

This paper proposes probabilistic models of time series data in time series analysis. This accommodates models with a fitted drift and as time trend by defining the stationarity assumptions on time series to discriminate between stationarity and non-stationarity about a deterministic trend also defining the stochastic models for time series.