Pages that link to "Item:Q1106596"
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The following pages link to Estimation for a semimartingale regression model using the method of sieves (Q1106596):
Displaying 17 items.
- An identification problem for systems with additive fractional Brownian field (Q334261) (← links)
- A penalty method for nonparametric estimation of the intensity function of a counting process (Q914288) (← links)
- Smoothing signals for semimartingales (Q1102621) (← links)
- Estimation of the nuisance parameter for a semimartingale regression model (Q1179404) (← links)
- Stochastic methods for neural systems (Q1200640) (← links)
- Identifying nonlinear covariate effects in semimartingale regression models (Q1262059) (← links)
- Statistical modeling of diffusion processes with free knot splines (Q1408736) (← links)
- Nonparametric inference for a doubly stochastic Poisson process (Q2366192) (← links)
- Asymptotic theory for the Cox model with missing time-dependent covariate (Q2497186) (← links)
- A General Approach To Nonparametric Histogram Estimation (Q2785883) (← links)
- Dynamic modelling and causality (Q3033168) (← links)
- Estimation of the drift function for Ito processes and a class of semimartingales via histogram sieve (Q3414637) (← links)
- Convergence rates for the minimum complexity estimator of counting process intensities<sup>∗</sup> (Q4512743) (← links)
- Stochastic calculus as a tool in survival analysis: A review (Q5895396) (← links)
- Stochastic calculus as a tool in survival analysis: A review (Q5899913) (← links)
- Inference for stochastic neuronal models (Q5899962) (← links)
- Inference for stochastic neuronal models (Q5919264) (← links)