4 problems

Let $k>1$ and consider the binary order-$k$ Markov setting. Let the canonical $\mathsf{MambaZero}$ model have state dimension $d$, number of state channels $N$, expansion dimension…

Let $\theta_t$ denote the parameter process in the self-organizing state-space model, and let $C_t$ be the time-dependent constants appearing in Corollary 2, Theorem 2 and Theorem…

Consider the state-space model and particle approximations $p_{t,\Theta}^N(\mathrm{d} \theta_t|Y_{1:t})$ and $p_{t,\mathsf{X}}^N(\mathrm{d} x_t|Y_{1:t})$ of Corollary 2, with const…

The paper considers linear state-space models with Gaussian measurement noise and state-equation noises whose components have alpha-stable distributions with parameters alpha and b…