[youtube https://www.youtube.com/watch?v=LPvtpXtv0Lg?rel=0]

State Space Methodology serves as an umbrella for representing many univariate, multivariate stationary and non stationary time series. For those who have never heard of a “State Space Model” but have used some software for any time series model parameter estimation, the motivation is this : It is likely that the software used has a state space representation of the model in the implementation. For example, in R, the implementation for the function arima() says,

I had been intending to read this book for many months but somehow never had a chance to go over it. Unfortunately I fell sick this week and lacked strength to do my regular work. Fortunately I stumbled on to this book again. So, I picked it up and read it cover to cover while still getting over my illness. One phrase summary of the book is “Develop Bayesian thinking”. The book is a call to arms for acknowledging our failures in prediction and doing something about it.

Love your life and you’ll lose it. Risk it and maybe, just, you’ll totter into heaven — the place of both annihilation and total knowledge; the place of beauty and joy. The risk is absolute, you’ll get nothing else out of it, not pleasure, not health, not affection, not comfort and certainly not safety. Just the beauty of God. - Sara Maitland