Questions tagged [extrapolation]

The tag has no usage guidance.

22 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
6
votes
1answer
846 views

Difference between extrapolation and interpolation in higher dimensions

The most common distinction I've seen made between interpolation and extrapolation is that interpolation is within the range of the data, whereas extrapolation is outside the range of the data. This ...
3
votes
0answers
25 views

The extrapolation problem: model selection, performance metrics, and improvement

Machine learning models are fit to a response within a given range. This leads to weak and sometimes disastrous performance when it comes to instances outside that range. When the underlying mechanism ...
3
votes
0answers
57 views

Framework for simulating SEM data w/ moderation + mediation, testing models

I'm interested in extrapolating treatment effects from RCTs to new populations under conditions where populations exhibit relevant differences that induce differences in treatment effects. My aim is ...
3
votes
0answers
66 views

Statistical extrapolation question - If I have three bins of balls

Let's say I have three bins of red and blue balls. Each bin has exactly 1000 balls in it, but the problem is that I don't know exactly how many balls there are of each color in the three bins. I only ...
2
votes
0answers
84 views

Comparison of extrapolated kaplan-meier survival curve with background mortality

For my research I am doing an health economic assessment of patients with a renal transplant. For my model I need to know their (yearly) mortality probability. My plan was to extrapolate survival data ...
2
votes
1answer
897 views

How to run a regression analysis in python on a nonlinear, strange dataset

I can't figure out what type of regression analysis or extrapolation technique to use in order to come up with an equation for the data I have plotted. For a school project, I've been testing diodes ...
2
votes
0answers
883 views

How to forecast (extrapolate) within a (B-)Spline setting

Suppose I observe a random variable $Y$ for a co-variable $p\in\{70,90,100,...,170\}$. My goal is create a forecast of $\mathbb{E}(Y)$ for $p\in\{50,70,...,350\}$, i.e., a wider range of $p$ as ...
2
votes
0answers
215 views

How to extrapolate future probability density functions if you have a time series of them as input?

I'm sorry for lack of technical vocabulary, I'm not a mathematician but an undergraduate student in business informatics. This is my current situation: I am given an observations vector $\textbf{X}$ ...
1
vote
0answers
28 views

Is it better to estimate a population parameter directly or via a proportion?

Situation I'll describe the situation through a made-up example. Suppose there is a village of 1,000 households where people collectively bought $F$ kg of food over some period of time, and ended up ...
1
vote
0answers
29 views

How does one estimate error of extrapolated value with only 2 data points?

I am trying to do a simple linear regression. I have only two data points with errors. How do I estimate the y-intercept with errors? Currently I have: ...
1
vote
0answers
136 views

Comparing different machine learning models for extrapolation

I am trying to fit a non linear regression model on a set of data points which I know is incomplete. When visualizing the data, the relationship looks quite simple between my features and dependent ...
1
vote
0answers
32 views

Commenting on wider population from survey sample

I am conducting a survey in 9 restaurants, hoping to gather data on our customer demographic profile. The population is equal to the number of covers the restaurant had over the corresponding period ...
1
vote
0answers
34 views

Extrapolating Hierarchical Time-Series Data

I have time-series data of national-level population estimates from 1990 to 2015. I also have subnational-level population estimates (thus, the distribution of national data), but only for years 2000 ...
1
vote
0answers
158 views

Determining mean and SD of a parent normal distribution from a truncated data set

This seems like it should be easier than it is, but I'm stuck trying to determine if a data set I have represents a truncated normal distribution. The hypothesis I'm testing is that the data you see ...
1
vote
0answers
495 views

Can you extrapolate values of the dependent variable with a GAM?

I'm trying to find issues where GLMs are better than GAMs and came to the idea that GLMs can make predictions beyond the scope of the data used to feed the model (i.e, extrapolations), while GAMs ...
1
vote
0answers
67 views

Removing observations from sample & extrapolation

I have a survey that was administered once to establish baseline, and again to follow up. The baseline was created from a random sample of the population (1,200 respondents). The follow up survey (~...
0
votes
0answers
10 views

Converting extrapolation point to interpolation point

Just wondering if this is possible via mathematical conversion. I thought some Kernels might do this in the kernel space. I got curious whether it's possible to create a general method that ...
0
votes
0answers
15 views

How do I extrapolate website click data for subsequent months?

Started my first job and prolly my first post here too - any help would be greatly appreciated :D Please find the question in the attached image.
0
votes
0answers
17 views

How to estimate sample mean/variance from another, smaller sample?

Let's say I record some variable from Sample 1 of size = 10 and find that mean = 10 and ...
0
votes
0answers
9 views

Estimating sales by extrapolating from one year to the next using the change in population and price

Would the below be a reasonable approach to extrapolate aggregate sales for item X from 2017 to 2018? Sales of item X in 2017 (in euros): 5,364 Population increase (of target population that buys ...
0
votes
0answers
78 views

Extrapolating a fitted curve- Methods

I would like to extrapolate different curves I've fitted to my dataset (just two variables). However, apart from the constant, linear, polynomial (so it basically includes the linear approach), and ...
0
votes
0answers
34 views

How can I ensure the independent features in a dataset have maximum positive coefficients on running logistics regression

I have a sample dataset with about a million records with about 7 feature variables. On running logistic regression on this dataset, I got 5 features with a positive coefficient and 2 with a negative ...