Distributed Solar: The Democratizaton of Energy
Blogroll
- GeoEnergy Math
- Ives and Dakos techniques for regime changes in series
- South Shore Recycling Cooperative
- Peter Congdon's Bayesian statistical modeling
- "The Expert"
- AP Statistics: Sampling, by Michael Porinchak
- Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION
- In Monte Carlo We Trust
- distributed solar and matching location to need
- American Association for the Advancement of Science (AAAS)
climate change
- The Carbon Cycle
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper)
- Sea Change Boston
- Spectra Energy exposed
- Mathematics and Climate Research Network
- Agendaists
- An open letter to Steve Levitt
- Nick Bower's "Scared Scientists"
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- James Powell on sampling the climate consensus
Archives
Jan Galkowski
Category Archives: accept-reject methods
cdetools package for R: Dalmasso, et al [updated]
Just hit the “arXiv streets”: N. Dalmasso, T. Pospisil, A. B. Lee, R. Izbicki, P. E. Freeman, A. I. Malz, “Conditional Density Estimation Tools in Python and R with applications to photometric redshifts and likelihood-free cosmological inference”, arXiv.org > astro-ph … Continue reading
Sampling: Rejection, Reservoir, and Slice
An article by Suilou Huang for catatrophe modeler AIR-WorldWide of Boston about rejection sampling in CAT modeling got me thinking about pulling together some notes about sampling algorithms of various kinds. There are, of course, books written about this subject, … Continue reading
Posted in accept-reject methods, American Statistical Association, Bayesian computational methods, catastrophe modeling, data science, diffusion processes, empirical likelihood, Gibbs Sampling, insurance, Markov Chain Monte Carlo, mathematics, Mathematics and Climate Research Network, maths, Monte Carlo Statistical Methods, multivariate statistics, numerical algorithms, numerical analysis, numerical software, numerics, percolation theory, Python 3 programming language, R statistical programming language, Radford Neal, sampling, slice sampling, spatial statistics, statistics, stochastic algorithms, stochastic search
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