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Questions tagged [model-fitting]

Fitting parameters of a function to explain given data

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Changing gmdistribution.fit bin size

I am currently using the gaussian mixture model to fit some data I have in matlab. I am using the gmdistribution.fit function, and have a question regarding the fit. The following code is used to generate the PDF. %Plot ECDFHIST [ecdf_f,ecdf_x] =…
MichaelD
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Create a graph to display observed and fitted values

I am trying to plot the observed and fitted values from a data set and its linear regression against a common time period variable using ggplot. My data frame is called balances. gdp.model <- lm(depvar ~ indepvar1 + …
Eric Faulk
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How to extract values fitted to a gaussian distribution in R?

I have a data frame X with 2 columns a and b, a is of class character and b is of class numeric. I fitted a gaussian distribution using the fitdist (fitdistrplus package) function on b. data.fit <- fitdist(x$b,"norm", "mle") I want to extract the…
fabSir
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How to create dataset for fitting a function in scipy stats?

I want to fit some data to a Pareto distribution using the scipy.stats library. I am not sure if the issue might be numerical, so just to be safe; I have values measured for the dependent variable (let's call them 'pushes') for the independent…
user3525685
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R: Creating set of all possible ARIMA models

I am trying to create a set of all possible models for 1 variable using 10 predictors. I know how to to this for the LM model, but is there a way how to create it for ARIMA models? Or would it be OK to take fitted values and add them to lm…
user3577904
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Resolving symmetry in gnls model

I'm trying to fit a logistic growth model in R, using gnls in the nlme package. I have previously successfully fit a model: mod1 <- gnls(Weight ~ I(A/(1+exp(b + v0*Age + v1*Sum.T))), data = df, start =…
Andrew
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How can I fit a bounding (semi-)ellipsoid to a cluster of 3D data points?

I have a dataset of 3D points, which are arranged in clusters resembling a (semi-)ellipsoidal shape. When I try standard ellipsoid fitting as, e.g. implemented in the MATLAB function…
Michael
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non-linear search for parameter values in python

I have this function, dn =fp(xn)+an =Asin(2π k xn +φ)+an an is gaussian distributed random noise with σ2 = 1 and p denotes the particular choice of values of free parameters, p = [A,k,φ] I need to write two functions: (1)peval - is supplied a set…
JohnnyLaz
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Pymc 2d gaussian fitting

I am trying to fit a predefined 2d gaussian function to some observed data with pymc. I keep running into errors and the last one I got was ValueError: setting an array element with a sequence. I understand what the error means, but I am not sure…
bmsmith
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solve a non-linear least squares optimization

I want to fit data with my custom function to calculate parameters of the model. Data of x and y are attached at the end. The custom function…
Leo
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Function of parameter

I have written the codes below: def model(axis, p): a1, t1, a2, t2, a3, t3, a4, t4 = p return a1*np.exp(-axis/t1) + a2*np.exp(-axis/t2) + a3*np.exp(-axis/t3) + a4*np.exp(- axis/t4) This code is the definition of 4 exponentials. I have to…
MOON
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R: Error in function "nls" for my datset

I have data with climatological pressure values and the heights of the stations where the pressure was measured. I would like to fit an exponential model to them. The data look like this: x [1] 539 575 1320 438 1840 496 316 552 325 386 1599…
user3017048
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Fit an exponential growth curve and extract growth rate parameters (in ggplot?)

I currently have the following plot generated: Data: require(ggplot2) just_growth_data=structure(list(ID = c(1L, 2L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 27L, 28L, 29L, 30L,…
Atticus29
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fitting a model perfectly using jax in machine learning

Link to text file Hi I am relatively new to Machine learning, I have managed to get a model like in the image attached, I would like to know what I can do more for the model to fit perfectly[model I made],i don't know much about choosing loss…
jeevan
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Fit a 2d linear stochastic differential equation with R or python

I have the following linear SDE where all the parameters are positive. B is the Brownian Motion. I would like to fit the SDE to the following data, estimating the parameters: dput(p) c(-0.00499887430417606, 0.00136580945429492, 0.00272603530923862,…
Mark
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