Finding predictors of upper level of a variable

I am analyzing data on a health variable and its relation to age, gender, height etc. I am more interested in 90th percentile of the health variable, which can be called upper limit of ‘normal’. How will this analysis be different from regular analysis where one is trying to find out factors predicting the value … Read more

How to predict the probability of a discrete choice problem?

I am looking for a discrete choice model (e.g. a logit) to describe the reaction of a pedestrian when a car is arriving. Depending on the severity of the conflict and other geometrical parameters, he has to decide what to do. There are input parameters like: distance, speed of the car, acceleration of the car, … Read more

How to predict parameters of time-variant distributions?

I am trying to create a simulation, and I have my probability distribution function changing over time (getting more skewed, etc.) We can have up to 5 consecutive years. Can you please explain where to look at. What I do is that I first use EasyFit link then I see the changes in the parameters … Read more

How to deal with variables with high variability across repeats in model building? [closed]

Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 11 months ago. Improve this question There are a few important variables in my model with high variability across biological repeats. Is there any way to … Read more

How to predict next failure based on past measurements and failures?

I’m working with a vacuum chamber. I have one test per day in which we test if the chamber’s seals are still good enough for operation. In each test I have measurements every 60 seconds for 5 minutes (0, 60, 120, 180, 240, 300 seconds). I know that if the vacuum difference between one measurement … Read more

How to build a predictive model to predict the water consumption? [closed]

Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 3 years ago. Improve this question currently I just met a case and Give the context below: I got a 1000 … Read more

Inconsistences when comparing linear regression models with advanced features in Python

Good morning ! I am learning how to do linear regression models with python and I encountered difficulties when widening a model to some advanced featues I have a set of data for housing sales depicted in the following graph : And actually with several features : idpricebedroomsbathroomssqftlivingsqftlotfloorswaterfront7129300520221900311180565010641410019253800032.2525707242205631500400180000217701000010 And a few more like viewconditiongradesqftabovesqftbasementyrbuiltyrrenovatedzipcodelat The … Read more

Computing predictive variance of the expected y in linear regression

Given a labeled dataset $X$ $(x_0, x_1, \dotsc, x_n)$ & $Y$ $(y_0, y_1, \dotsc, y_n)$ and learnt parameter $\hat{\theta}$ in linear regression model $y \sim \theta^{T} x$, what is the formula for calculating predictive variance of the expected value on a new data point? (e.g. $\hat{\theta} x_{new}$ ), given the labeled dataset? Answer AttributionSource : … Read more

Inference with Mixture of Linear Regression

I have used an EM algorithm to fit a finite mixture of linear regression to my data, and cluster them into $k$ clusters. Now that I have my clusters with the estimated parameters $\beta_k$ and $\sigma_k$, my question is how to use my model to predict new observations $x_{new}$? I am thinking that I need … Read more

How can I tune my model to perform well?

I trained a machine learning regressor for a target variable: loan charged off amount. My task is to predict the charged off amount on a future date given a bunch of loan data as input. So I choose to use regression method. My dataset comprises two types of variables: static variables: like loan amount, term, … Read more