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### Central limit theorems for eigenvalues in a spiked population model

Annales de l'I.H.P. Probabilités et statistiques

In a spiked population model, the population covariance matrix has all its eigenvalues equal to units except for a few fixed eigenvalues (spikes). This model is proposed by Johnstone to cope with empirical findings on various data sets. The question is to quantify the effect of the perturbation caused by the spike eigenvalues. A recent work by Baik and Silverstein establishes the almost sure limits of the extreme sample eigenvalues associated to the spike eigenvalues when the population and the...

### Linear diffusion with stationary switching regime

ESAIM: Probability and Statistics

Let $Y$ be a Ornstein–Uhlenbeck diffusion governed by a stationary and ergodic process $X:\mathrm{d}{Y}_{t}=a\left({X}_{t}\right){Y}_{t}\mathrm{d}t+\sigma \left({X}_{t}\right)\mathrm{d}{W}_{t},{Y}_{0}={y}_{0}$. We establish that under the condition $\alpha ={E}_{\mu }\left(a\left({X}_{0}\right)\right)<0$ with $\mu$ the stationary distribution of the regime process $X$, the diffusion $Y$ is ergodic. We also consider conditions for the existence of moments for the invariant law of $Y$ when $X$ is a Markov jump process having a finite number of states. Using results on random difference equations on one hand and the fact that conditionally to $X$, $Y$ is gaussian on the other hand, we give...

### Linear diffusion with stationary switching regime

ESAIM: Probability and Statistics

Let be a Ornstein–Uhlenbeck diffusion governed by a stationary and ergodic process : ddd. We establish that under the condition with the stationary distribution of the regime process , the diffusion is ergodic. We also consider conditions for the existence of moments for the invariant law of when is a Markov jump process having a finite number of states. Using results on random difference equations on one hand and the fact that conditionally to , is Gaussian on the other hand, we...

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