Pages that link to "Item:Q4020594"
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The following pages link to A dynamic approach to the statistical analysis of point processes (Q4020594):
Displaying 17 items.
- Measuring the association of stationary point processes using spectral analysis techniques (Q257467) (← links)
- Semi-parametric dynamic time series modelling with applications to detecting neural dynamics (Q965143) (← links)
- Statistical inference for detrended point processes (Q1327555) (← links)
- Bayesian dynamic models for space-time point processes (Q2361232) (← links)
- Inference for a class of partially observed point process models (Q2393149) (← links)
- Stochastic volatility duration models (Q2439049) (← links)
- Point processes in statistical risk analysis (Q2443848) (← links)
- Point processes of non stationary sequences generated by sequential and random dynamical systems (Q2658894) (← links)
- Bayesian inference for models based on point processes, by using Markov chain methods (Q2735856) (← links)
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- The Analysis of Current Status Data on Point Processes (Q4292129) (← links)
- Bayesian Variable Selection Methods for Log-Gaussian Cox Processes (Q4689192) (← links)
- Functional data analysis for point processes with rare events (Q4908778) (← links)
- Autoregressive Point Processes as Latent State-Space Models: A Moment-Closure Approach to Fluctuations and Autocorrelations (Q5157255) (← links)
- Algorithms for Point Processes Analysis (Q5299808) (← links)
- Comparison of classical and Bayesian approaches for intervention analysis (Q6574885) (← links)
