Sequential Monte Carlo (SMC)

[Placeholder: Detailed explanation of Sequential Monte Carlo sampler]

This page will cover:

• Sequential Monte Carlo with adaptive tempering

• Available kernels (Random Walk, NUTS)

• When to use SMC (recommended default)

• Hyperparameters and configuration

• GPU acceleration and performance

• Usage examples

• API reference: jesterTOV.inference.samplers.smc.SMCSampler

Note: SMC with Random Walk kernel is the recommended default sampler for most use cases.