Comments (1)
OK, I replaced %.3f
by %s
, which should work whether self.chaintheta[p][n]
is a scalar or or an array. (We loose the formatting, but I guess that's ok.)
Thx.
from particles.
Related Issues (20)
- Add an improper distribution class HOT 1
- Typos in `MvNormal` HOT 1
- Not a big issue, but just the typo in document HOT 1
- Wrong reference in documentation HOT 1
- Feature: log-normal dists
- SSM for SIR-Model HOT 4
- Missing feature: Multivariate normal distribution with a different covariance matrix for each particle HOT 2
- Error in guided particle filtering for pre-implemented stochastic volatility model. HOT 4
- Restricting sampling of parameters HOT 4
- Information request regarding particle attribute and predictive steps HOT 1
- nsteps in backward_sampling_mcmc
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- Mixture error? HOT 3
- Potential Bug in SMC2 HOT 1
- Forum Creation HOT 3
- Not working given example in the Kalman file HOT 1
- Bug in BayesianVS_gprior HOT 1
- Feature request: parallelisation over the particles? HOT 3
- smc_samplers.AdaptiveTempering may raise an error before reaching exponent == 1. HOT 1
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from particles.