Pages that link to "Item:Q4337286"
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The following pages link to Approximation of estimators in the PCA of a stochastic process using B-splines (Q4337286):
Displaying 21 items.
- Functional PCA and base-line logit models (Q269168) (← links)
- Functional estimation of the random rate of a Cox process (Q430885) (← links)
- Explaining functional principal component analysis to actuarial science with an example on vehicle insurance (Q659139) (← links)
- Regression models for functional data by reproducing kernel Hilbert spaces methods (Q866626) (← links)
- On the structure of the stochastic processes of mortgages in Spain (Q880894) (← links)
- Modelling the mean of a doubly stochastic Poisson process by functional data analysis (Q959350) (← links)
- Functional estimation incorporating prior correlation information (Q964621) (← links)
- Computational considerations in functional principal component analysis (Q964622) (← links)
- Functional PLS logit regression model (Q1020149) (← links)
- Forecasting with unequally spaced data by a functional principal component approach (Q1302071) (← links)
- A survey of functional principal component analysis (Q1621666) (← links)
- Derivation of a state-space model by functional data analysis (Q1887229) (← links)
- Stochastic modeling of random access memories reset transitions (Q1997519) (← links)
- Penalized spline approaches for functional logit regression (Q2392915) (← links)
- Penalized PCA approaches for B-spline expansions of smooth functional data (Q2451379) (← links)
- Stochastic modelling for evolution of stock prices by means of functional principal component analysis (Q2711689) (← links)
- Forecasting PC-ARIMA Models for Functional Data (Q3298643) (← links)
- Generalized linear models for geometrical current predictors: An application to predict garment fit (Q3386480) (← links)
- An approximated principal component prediction model for continuous time stochastic processes (Q4380845) (← links)
- Principal component estimation of functional logistic regression: discussion of two different approaches (Q4831081) (← links)
- Computational approaches to estimation in the principal component analysis of a stochastic process (Q4940117) (← links)
