|
KrisLibrary
1.0.0
|
Various statistical algorithms. More...
Files | |
| file | statistics.h |
| Basic statistical utilities. | |
Namespaces | |
| Statistics | |
| Contains all definitions in the statistics directory. | |
Classes | |
| struct | Statistics::DistributionCollector |
| Incrementally collects samples from a univariate distribution. More... | |
| class | Statistics::DistributionCollectorND |
| Incrementally collects samples from a multivariate distribution. More... | |
| class | Statistics::GaussianHMM |
| A model of a temporal sequence consisting of k discrete states each with a gaussian emission probability. More... | |
| class | Statistics::GaussianMixtureModel |
| A model of a probability distribution consisting of k gaussians. More... | |
| class | Statistics::GaussianMixtureModelRaw |
| A more ``raw'' model of a GMM that does not perform a cholesky decomposiition. More... | |
| class | Statistics::Histogram |
| 1-D histogram class More... | |
| class | Statistics::Histogram2D |
| 2-D histogram class More... | |
| class | Statistics::Histogram3D |
| 3-D histogram class More... | |
| class | Statistics::HistogramND |
| N-D histogram class. More... | |
| class | Statistics::IntervalMap< Data > |
| Division of the real numbers into interval sets. Each interval is assigned data of type Data. More... | |
| class | Statistics::KMeans |
| A simple clustering method to choose k clusters from a set of data. More... | |
| class | Statistics::LinearProcessHMM |
| A model of a temporal sequence consisting of k discrete states each with a gaussian emission probability depending on the prior continuous state. More... | |
Functions | |
| Real | Statistics::Sum (const std::vector< Real > &data) |
| Real | Statistics::Sum (const Vector &data) |
| void | Statistics::Sum (const std::vector< Vector > &data, Vector &sum) |
| void | Statistics::Sum (const Matrix &data, Vector &sum) |
| Real | Statistics::Mean (const std::vector< Real > &data) |
| void | Statistics::Mean (const std::vector< Vector > &data, Vector &mean) |
| Real | Statistics::Mean (const Vector &data) |
| void | Statistics::Mean (const Matrix &data, Vector &mean) |
| Real | Statistics::Variance (const std::vector< Real > &data) |
| void | Statistics::Variance (const std::vector< Vector > &data, Vector &var) |
| Real | Statistics::Variance (const Vector &data) |
| void | Statistics::Variance (const Matrix &data, Vector &var) |
| Real | Statistics::StdDev (const std::vector< Real > &data) |
| void | Statistics::StdDev (const std::vector< Vector > &data, Vector &stddev) |
| Real | Statistics::StdDev (const Vector &data) |
| void | Statistics::StdDev (const Matrix &data, Vector &stddev) |
| Real | Statistics::StdDev_Robust (const std::vector< Real > &data) |
| void | Statistics::StdDev_Robust (const std::vector< Vector > &data, Vector &stddev) |
| Real | Statistics::StdDev_Robust (const Vector &data) |
| void | Statistics::StdDev_Robust (const Matrix &data, Vector &stddev) |
| Real | Statistics::WeightedSum (const Vector &data, const Vector &w) |
| void | Statistics::WeightedSum (const Matrix &data, const Vector &w, Vector &sum) |
| Real | Statistics::WeightedMean (const Vector &data, const Vector &w) |
| void | Statistics::WeightedMean (const Matrix &data, const Vector &w, Vector &mean) |
| Real | Statistics::WeightedVariance (const Vector &data, const Vector &w) |
| void | Statistics::WeightedVariance (const Matrix &data, const Vector &w, Vector &var) |
| Real | Statistics::WeightedStdDev (const Vector &data, const Vector &w) |
| void | Statistics::WeightedStdDev (const Matrix &data, const Vector &w, Vector &stddev) |
Various statistical algorithms.
A set of vector-valued observations.
Internally represented as a Matrix.
1.8.11