The following pages link to The Analysis of Time Series (Q5741695):
Displaying 12 items.
- Minimum Hellinger distance estimation for discretely observed stochastic processes using recursive kernel density estimator (Q2156008) (← links)
- Introduction to Time Series and Forecasting (Q2821706) (← links)
- (Q3635251) (← links)
- (Q4039746) (← links)
- Ian McLeod’s Contribution to Time Series Analysis—A Tribute (Q4976474) (← links)
- Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission (Q5057079) (← links)
- Time Series: a Data Analysis Approach Using R By Robert H. Shumway and David S. Stoffer. Published by Taylor & Francis Group, LLC, Boca Raton, London, New York, 2019. ISBN: 9780367221096 (Hardback) (Q5111859) (← links)
- Time Series (Q5208638) (← links)
- (Q5325711) (← links)
- (Q5478309) (← links)
- Multi-scale invariant fields: estimation and prediction (Q5854153) (← links)
- Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing a New Framework to Review and Standardise Documentation of Model Assumptions and Facilitate Model Comparison (Q6067593) (← links)
