Distributed Solar: The Democratizaton of Energy
Category Archives: SVD
A proposal: Challenge for the Green New Deal
There is a climate emergency. There are many ways of looking at this, from the big investments perspective (see also a Fed view), to human harms perspective (see also), to what it might cost to reverse these changes if they … Continue reading
Posted in alternatives to the Green New Deal, American Association for the Advancement of Science, American Chemical Society, American Meteorological Association, American Solar Energy Society, American Statistical Association, Amory Lovins, Anthropocene, basic research, Bloomberg New Energy Finance, bridge to somewhere, carbon dioxide, carbon dioxide capture, cement production, Clausius-Clapeyron equation, clear air capture of carbon dioxide, climate, climate business, climate change, climate data, climate disruption, climate economics, climate education, Climate Lab Book, ClimateAdam, consumption, David Archer, decentralized energy, demand-side solutions, ecological disruption, ecomodernism, ecopragmatism, electric vehicles, electrical energy storage, electricity, energy storage, environment, flooding, floods, food, food scarcity, geoengineering, geophysics, Glen Peters, Global Carbon Project, global warming, insurance, investing, investment in wind and solar energy, investments, leaving fossil fuels in the ground, local self reliance, National Center for Atmospheric Research, Our Children's Trust, planning, policy metrics, politics, population biology, population dynamics, radiative forcing, rationality, real estate values, rhetorical statistics, science, stream flow, sustainability, SVD, the right to know, UU Ministry for Earth, UU Needham, zero carbon, ZigZag
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When linear systems can’t be solved by linear means
Linear systems of equations and their solution form the cornerstone of much Engineering and Science. Linear algebra is a paragon of Mathematics in the sense that its theory is what mathematicians try to emulate when they develop theory for many … Continue reading
A new feature: Technical publications of the week
I’m beginning a new style of column, called technical publications of the week. While I can’t promise these will be weekly, I will, from time to time, highlight technical publications I’ve recently read which I consider to be noteworthy. I … Continue reading
Posted in Anthropocene, big data, climate change, climate disruption, data science, data streams, earthquakes, geophysics, global warming, Hyper Anthropocene, Locality Sensitive Hashing, LSH, MinHash, numerical algorithms, numerical analysis, random projections, seismology, subspace projection methods, SVD, the right to be and act stupid, the tragedy of our present civilization, the value of financial assets
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Six cases of models
The previous post included an attempt to explain land surface temperatures as estimated by the BEST project using a dynamic linear model including regressions on both quarterly CO2 concentrations and ocean heat content. The idea was to check the explanatory … Continue reading
Posted in AMETSOC, anemic data, Anthropocene, astrophysics, Bayesian, Berkeley Earth Surface Temperature project, BEST, carbon dioxide, climate, climate change, climate data, climate disruption, climate models, dlm package, dynamic linear models, dynamical systems, environment, fossil fuels, geophysics, Giovanni Petris, global warming, greenhouse gases, Hyper Anthropocene, information theoretic statistics, maths, maximum likelihood, meteorology, model comparison, numerical software, Patrizia Campagnoli, Rauch-Tung-Striebel, Sonia Petrone, state-space models, stochastic algorithms, stochastic search, SVD, time series
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Comprehensive and compact tutorial on Petris’ DLM package in R; with an update about Helske’s KFAS
A blogger named Lalas produced on Quantitative Thoughts a very comprehensive and compact tutorial on the R package dlm by Petris. I use dlm a lot. Unfortunately, Lalas does not give details on how the SVD is used. They do … Continue reading
Posted in Bayes, Bayesian, dynamic linear models, dynamical systems, forecasting, Kalman filter, mathematics, maths, multivariate statistics, numerical software, open source scientific software, prediction, R, Rauch-Tung-Striebel, state-space models, statistics, stochastic algorithms, SVD, time series
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