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Books Like Lectures on stationary and nonstationary time series
If you liked Lectures on stationary and nonstationary time series by Peter C. B. Phillips, start with Bayes models and forecasts of Australian macroeconomic time series (1992), Lectures on unit roots, cointegration and nonstationarity (1995), and Financial Econometric Modeling (2020). These recommendations are drawn from the same author, shared genres, and reader overlap on BookOrb.
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What should I read after Lectures on stationary and nonstationary time series?
BookOrb recommends Bayes models and forecasts of Australian macroeconomic time series (1992), Lectures on unit roots, cointegration and nonstationarity (1995), Financial Econometric Modeling (2020), Bayes methods for trending multiple time eries with an empirical application to the U. S. economy (1992), and Econometric analysis of nonstationary data (1998).
Are there books like Lectures on stationary and nonstationary time series?
Yes. The list on this page is ranked from the closest matches BookOrb has for Lectures on stationary and nonstationary time series.
Who wrote Lectures on stationary and nonstationary time series?
Lectures on stationary and nonstationary time series is by Peter C. B. Phillips.