Category Archives: random walks

Just because the data lies some times doesn’t mean it’s okay to censor it

Or, there’s no such thing as an outlier … Eli put up a post titled “The Data Lies. The Crisis in Observational Science and the Virtue of Strong Theory” at his lagomorph blog. Think of it: Data lying. Obviously this … Continue reading

Posted in Akaike Information Criterion, American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, AMETSOC, Anthropocene, Bayes, Bayesian, climate, climate change, climate models, data science, dynamical systems, ecology, Eli Rabett, environment, Ethan Deyle, George Sughihara, Hao Ye, Hyper Anthropocene, information theoretic statistics, IPCC, Kalman filter, kriging, Lenny Smith, maximum likelihood, model comparison, model-free forecasting, physics, quantitative ecology, random walk processes, random walks, science, smart data, state-space models, statistics, Takens embedding theorem, the right to know, Timothy Lenton, Victor Brovkin | 1 Comment

Our uncontrolled experiment with Earth as an Astrophysics problem set

Hat tip to And then there’s Physics …: On climate change and Astrobiology , by Adam Frank.

Posted in adaptation, American Association for the Advancement of Science, Anthropocene, astrophysics, bacteria, bollocks, Carl Sagan, civilization, climate, climate disruption, conservation, consumption, cynicism, Daniel Kahneman, David Archer, David Suzuki, denial, destructive economic development, Eaarth, ecology, environment, environmental law, Equiterre, fossil fuels, games of chance, geophysics, global warming, greenhouse gases, Hyper Anthropocene, James Hansen, leaving fossil fuels in the ground, mass extinctions, meteorology, NASA, Neill deGrasse Tyson, oceanography, Our Children's Trust, physics, Principles of Planetary Climate, quantitative ecology, random walks, Ray Pierrehumbert, risk, Robert Young, science, sustainability | Leave a comment

Repaired R code for Markov spatial simulation of hurricane tracks from historical trajectories

I’m currently studying random walk and diffusion processes and their connections with random fields. I’m interested in this because at the core of dynamic linear models, Kalman filters, and state-space methods there is a random walk in a parameter space. … Continue reading

Posted in American Meteorological Association, American Statistical Association, AMETSOC, Arthur Charpentier, atmosphere, diffusion, diffusion processes, dynamic linear models, dynamical systems, environment, geophysics, hurricanes, Kalman filter, Kerry Emanuel, Lévy flights, Lorenz, Markov chain random fields, mathematics, mathematics education, maths, MCMC, mesh models, meteorological models, meteorology, model-free forecasting, Monte Carlo Statistical Methods, numerical analysis, numerical software, oceanography, open data, open source scientific software, physics, random walk processes, random walks, science, spatial statistics, state-space models, statistical dependence, statistics, stochastic algorithms, stochastics, time series | Leave a comment