query: How to fit multiple Gaussian peaks to data
positive_passages.docid: 157971
positive_passages.text: How to perform a multi-peak fitting?
negative_passages.docid: 127861
negative_passages.text: Finding Local Minima / Maxima in Noisy Data
negative_passages.docid: 147338
negative_passages.text: How do I find peaks in a dataset?
negative_passages.docid: 150076
negative_passages.text: Simulating the posterior of a Gaussian process
negative_passages.docid: 89984
negative_passages.text: Linear combination of two kernel functions
negative_passages.docid: 140395
negative_passages.text: Fit data with linear combinations of Cos and Sin
negative_passages.docid: 30255
negative_passages.text: Multiple regression with more than 20 predictors
negative_passages.docid: 111066
negative_passages.text: Statistical criteria for signal registration
negative_passages.docid: 110461
negative_passages.text: Fitting data without an equation
negative_passages.docid: 12658
negative_passages.text: Tool to confirm Gaussian fit
negative_passages.docid: 140116
negative_passages.text: NonLinearFit with data
negative_passages.docid: 153314
negative_passages.text: Multiple Regression, Normal distribution and Normalization
negative_passages.docid: 138532
negative_passages.text: How to find local minima of data using PeakDetect
negative_passages.docid: 27019
negative_passages.text: Test fit of discrete data distribution to normal distribution
negative_passages.docid: 40058
negative_passages.text: Early Detection of peaks with Neural Network
negative_passages.docid: 77274
negative_passages.text: How to apply Gaussian kernel to smooth density of points on 2D (algorithmically)
negative_passages.docid: 130101
negative_passages.text: How to fit a lognormal distribution in Python?