The Manuscripts
Home
Metaphors
Computer Science
Algorithms
Natural History
Astronomy
Statistics
Information Theory
Hierarchy Theory
Library
Fictions
Contact
A Glass Menagerie of Insight

MENIMAGERIE

The Manuscripts
Home
Metaphors
Computer Science
Algorithms
Natural History
Astronomy
Statistics
Information Theory
Hierarchy Theory
Library
Fictions
Contact
A Glass Menagerie of Insight
  • Filter: Statistics
  • All
  • Computer Science
  • Fiction
  • Hierarchy Theory
  • Information Management
  • Information Theory
  • Metaphor Theory
  • Statistics
January 5, 2016
Lovisa Sundin
Statistics

VIII. Additive Effects

January 5, 2016
Lovisa Sundin
Statistics
VIII. Additive Effects

Why are normal distributions so normal? The answer is partly because of selective reporting. In physical systems, an indefinite number of random factors combine to affect an outcome. 

January 5, 2016
Lovisa Sundin
Statistics

Tagged: Central Limit Theorem, Binomial Distribution, Francis Galton, Additive Effect, Power Law, Correlation

January 5, 2016
Lovisa Sundin
Statistics

VII. The Contrived Counter-Factual

January 5, 2016
Lovisa Sundin
Statistics
VII. The Contrived Counter-Factual

The shape of a probability distribution reflects – albeit very indirectly and cryptically – logical properties about the generating mechanism underneath.

January 5, 2016
Lovisa Sundin
Statistics

Tagged: Population, Variable, Sample, Probability Distribution, Parameter, Experimental Design, Randomization

January 5, 2016
Lovisa Sundin
Statistics

VI. Confirmatory and Exploratory

January 5, 2016
Lovisa Sundin
Statistics
VI. Confirmatory and Exploratory

We saw with the brain-as-a-Bayesian-statisticians that the number of hypotheses we can entertain is limited…

January 5, 2016
Lovisa Sundin
Statistics

Tagged: Bayesian Statistics, Howard Bloom, Parallel Terraced Scan, Qualitative Research, Quantitative Research

January 5, 2016
Lovisa Sundin
Statistics

V. Maximizing Falsifiability

January 5, 2016
Lovisa Sundin
Statistics
V. Maximizing Falsifiability

The insight that science will progress faster if it focuses on differentiating evidence, is extremely profound, and the most important concept in the philosophy of science.

January 5, 2016
Lovisa Sundin
Statistics

Tagged: Falsificationism, Karl Popper, Instrumentalism, Data Fitting, David Hume, Pierre Duham, Problem of Induction, Paradigm Shifts, Thomas Kuhn

2 Comments
January 5, 2016
Lovisa Sundin
Statistics

IV. Confirmation Bias in Terms of Bayes

January 5, 2016
Lovisa Sundin
Statistics
IV. Confirmation Bias in Terms of Bayes

If we let the unconscious cognitive processes constitute a filter, we find not only the filtration of how the brain collects data, but also biases in what hypotheses it focuses evidence acquisition on.

January 5, 2016
Lovisa Sundin
Statistics

Tagged: Confirmation Bias, Gerd Gigerenzer, Heuristic, Bayesian Statistics, Self-information, Wolfgang Kohler, Peter Wason

Newer Posts
Older Posts
Back To Top

Powered by Squarespace