Questions tagged [application]
applications of statistics and statistical modeling
73
questions
0
votes
0answers
11 views
Open Source ML use cases [closed]
I'm looking for examples of Open Source softwares using ML. I mean, not the tools like TensorFlow or scikit-learn which are building boxes for ML applications, but applications themselves (using those ...
0
votes
0answers
16 views
How biased is a statistical study in which sampling was purposely made without repeats? [duplicate]
[Cross posted on Math.SE]
It is understood in mathematical statistics that a sample (as in sampling distribution) may very well contain repeatedly the same item/subject.
In practice though, it would ...
0
votes
1answer
43 views
Are sampling distributions of any statistic used in real life statistical analyses?
I feel I am pretty good on the mathematical basis of CLT and sampling distributions.
HOWEVER:
While sources like OpenIntro Statistics (Diez et al, 2019) are fairly straighforward with their actual ...
0
votes
0answers
14 views
Help count votes from two systems knowing votes from one system and the total percentage
I will have two vote systems in a online vote. I can fully manage and count every vote in the System A but the System B I can know nothing. In the end I have the full results from vote System A and ...
5
votes
2answers
127 views
What apples do worms prefer? [closed]
I'm confused with some practical statistical problem, for which I have limited data and don't understand how to start with the problem. If anybody can point how such problems are (traditionally) ...
0
votes
0answers
25 views
Computing the fourth moment of a compound Gaussian distibution
I am working with a physical application, in which time-evolution is studied by monte-carlo evolution of Gaussian states (that is, the mean and variance of these states evolve according to coupled ...
1
vote
1answer
140 views
Can someone provide a brief explanation as to why reproducing kernel Hilbert space is so popular in machine learning?
I thought functional analysis was long thought to be old fashioned and generally a dead research area.
It seems that all of a sudden there is a huge fascination with so-called reproducing kernel ...
0
votes
0answers
17 views
Interpreting ANOVA results in the educational context
I have run an experiment in a six-week course to measure the effect of my educational treatment on student engagement. The treatment happens on weeks 4 and 6 of the course (for all of the students) ...
1
vote
1answer
66 views
Why should we study copulas? [closed]
I am new to the study of copulas and I would like that someone could provide some examples where they are applied, their usefulness and so on. Any help is appreciated. Thanks in advance.
0
votes
0answers
29 views
Summarize regression results on different datasets
I have 20 datasets (extracted from 20 different software systems) and fit a logistic regression model on each of them. On every dataset, the model was the same (same dependent variable and the same ...
35
votes
2answers
966 views
Evidence for man-made global warming hits 'gold standard': how did they do this?
This message in a Reuter's article from 25.02.2019 is currently all over the news:
Evidence for man-made global warming hits 'gold standard'
[Scientists] said confidence that human activities ...
2
votes
0answers
27 views
How do I measure effects over years in longitudinal panel data with individuals?
I'm working with a longitudinal panel dataset that surveys the same few thousand individuals biennially and I have six years of this data. My dependent variable would be how much individuals spend on ...
3
votes
1answer
70 views
How do I learn when to apply which statistical distributions? [closed]
I am learning Bayesian modeling and having trouble keeping straight when it is most appropriate to apply the various statistical distributions beyond the basic ones like the beta, binomial, and ...
4
votes
1answer
55 views
What does this paper mean by mean square error?
I'm reading a paper about estimating fetal weight by ultrasound and other techniques. In Table 2 they give descriptive statistics, to wit: of all the examiners, the one with the highest mean square ...
1
vote
1answer
69 views
Do you know of business applications of Reinforcement Learning?
I'm looking for literature on the application of Reinforcement Learning (RL) algorithms in a business context. Most articles and examples in books on RL are about the application of RL to games (...
2
votes
0answers
17 views
Variables common to all individuals in a panel
I have been tasked with evaluating the efficiency of different marketing tools for a microfinance bank.
I have a panel of seven individuals (seven districts of Tajikistan) over 17 months.
Dependent ...
2
votes
1answer
100 views
What modeling problem does ridge regression solve?
If your modeling problem is that you have too many features, a solution to this problem is LASSO regularization. By forcing some feature coefficients to be zero, you remove them, thus reducing the ...
1
vote
1answer
120 views
Testing the scope of application of a logistic regression model
My aim is to assess whether I can apply a logistic regression that was fitted on a sample A (where I have explanatory variables and the outcomes) to a different sample B where I don't know the ...
3
votes
0answers
259 views
Difference between Stochastic Approximation (SA) and Stochastic Gradient Descent (SGD)
I understand the intended use cases for both stochastic approximation algorithms like SPSA or FDSA, and for SGD algorithms like Adam.
SPSA is intended for noisy objective functions, and Adam for ...
1
vote
0answers
95 views
Mixture of power-law distribution
I have two large sets A and B of (integer) numbers, both obtained with two different (and unknown) probability distributions $\rho_A$ and $\rho_B$.
A (also large) set C contains a proportion $p$ of ...
7
votes
1answer
1k views
How Do You Choose The Number of Bins To Use For A Chi-Squared GOF Test?
I'm working on developing a physics lab about radioactive decay, and in analyzing sample data I've taken, I ran into a statistics issue that surprised me.
It is well known that the number of decays ...
1
vote
1answer
130 views
Population proportion inference: what statistical error am I committing here?
I am struggling to understand the following paradox.
Suppose we have a large population of people who exhibit different values of a trait, e.g. they are sick with different strains of a virus. ...
0
votes
2answers
135 views
Compare the slopes of categorical data
Hello I want to compare the slopes of the linear regression lines for the following distributions of sales figures over the years 2009 to 2017.
I want to compare the slopes of the regression lines - ...
2
votes
1answer
194 views
Real world applications of regressing complex numbers?
I recently extended a linear regression software I developed to include complex variables. It works very well but I am not familiar with how this can be used in the real world. I scoured the web to ...
4
votes
2answers
4k views
(Practical) Applications or RNN
I have been googling for a list of practical applications of Recurrent Neural Networks for some time, but did not find a reasonable reference list.
Most of the things are about text generation which ...
0
votes
2answers
170 views
Android Recommendation App Algorithm
I have this project proposal entitled "Android Based Program Recommendation App". (This application is for those college students who wants to shift to other programs).
The app will find a program ...
1
vote
1answer
66 views
Infering relative importance of features in driving a dependent variable
In an auctions website I maintain, auctions are listed most-recent-first. There are 20 auctions per page. A user can click next in the footer to view older auctions....
1
vote
0answers
90 views
Applying machine learning to dynamic complex systems (e.g. weather prediction)
Would it be correct to say that:
Physics-based, domain specific models are more widely used and are more practical in (longer term) weather forecasts than pure machine learning approaches
The reason ...
2
votes
0answers
65 views
Practical application for theoretical sampling process
Does the following sampling process model any particular real life scenario ? If so, could you point me to some relevant scientific papers.
Consider an arbitrary probability distribution $\mathcal{D}$...
3
votes
0answers
1k views
Finding correlations in a large dataset
My main objective is to find correlations between process parameters and their impact (more specifically: the amount of wear measured) on specific sections of equipment used in the process.
I've ...
2
votes
1answer
63 views
What statistic is appropriate to test if measured data points from untrusted sources are accurate enough?
Suppose I'm retrieving the price of asset from 3 different independent sources.
What statistic can I use to test whether data points are close enough that I can be confident they're correct?
I have ...
2
votes
0answers
207 views
Can the exponential distribution actually be used to model light bulbs lifetime?
In my textbook they use the lifetimes of lightbulbs (or other mechanical failures) as an example for an application of the exponential distribution.
Can/is this actually done in real life? The reason ...
1
vote
1answer
492 views
Gamma distribution and applications
I'm looking for references to read about gamma distribution and applications in industry or in quality control.
I had a look at statistical methods for reliability data (Meeker and Escobar). It has ...
11
votes
4answers
1k views
Good examples/books/resources to learn about applied machine learning (not just ML itself)
I've taken an ML course previously, but now that I am working with ML related projects at my job, I am struggling quite a bit to actually apply it. I'm sure the stuff I'm doing has been researched/...
1
vote
0answers
864 views
1
vote
0answers
39 views
Statistical assessment of people skills via PCA
I would like to assess the skills of a lot of persons on a few main axis.
Let me explain my proposal.
For each skills axes, I propose several questions. Each question gives a score from 0 to 10.
Once ...
0
votes
0answers
42 views
Bayesian inference and a logistic weight control problem
Currently I have a lot of problems to select which I want to work on. For some I already got ideas on how to solve it. However, I haven't dived deep into Bayesian inference so far but, from what I ...
1
vote
0answers
140 views
Hierarchical Bayesian Regression with an Indicator Variable, one group has all zeros for the IV Variable
I'm attempting to form a Bayesian Hierarchical Regression Model and one of my regressors is for an indicator variable. My hierarchy structure has separate group-level regressors related across-groups ...
4
votes
0answers
130 views
An example of delta method performing poorly
Q: Is there an example of the delta method being used in applied statistics where the sample size needed for a good approximation is practically unfeasible?
I am looking for an example from applied ...
0
votes
1answer
38 views
How to compare the means of two populations that were subject to five treatments?
I have two populations that were each subject to 5 different treatments and I want to compare their means.
This sounds like a great problem for multiple confidence intervals, but I don't want to make ...
1
vote
0answers
480 views
What is industrial statistics?
We have a course titled "Industrial Statistics". But I don't understand what is industrial statistics?
What I have understood after searching some sites is only that
Industrial statistics measure ...
4
votes
5answers
346 views
Which expansions and identities are useful to applied statisticians? [closed]
Simple mathematical relationships like $V(X) = E(X^2) - E(X)^2$, aside from being theoretical results, are useful because they allow analysts to do back-of-the-envelope calculations, restate results ...
4
votes
2answers
573 views
Successful applications of deep learning apart from image classification and NLP
Are there any successful applications of deep learning apart from image classification and NLP? I am aware of the winning approach of the Merck challenge on Kaggle only. However, I could not find more ...
1
vote
3answers
234 views
Good applied text for linear regression?
I have a pure math background and am now studying statistics. For additional study in my linear regression and time series class, my professor suggested a more applied text rather than a higher level ...
3
votes
0answers
98 views
Where is the uniform distribution with one parameter ($U(\theta, k \theta)$) useful for modelling?
I recently came across the distribution $U(\theta, k \theta)$ (where k is known) in the context of statistical theory (as a nice toy example for finding MLE and the likes).
However, I was wondering ...
23
votes
10answers
7k views
Do you have recommendations for books to self-teach Applied Statistics at the graduate level?
I took several statistics courses in college but I found that my education was very theory driven.
I was wondering if any of you had a text in Applied Statistics (at the graduate level) that you ...
3
votes
1answer
478 views
How to report results from analyses that did not converge
I am an analyst on a paper and, in writing up methods and results, noted that one of the proposed (logistic regression) models did not converge due to separation. I noted this in the results section ...
0
votes
0answers
55 views
How to determine whether a sales campaign is effective?
Assuming that I have an online ecommerce store. Recently, for one of the products, I want to run a sales campaign for the product for a period of time. The effectiveness is defined solely in terms of ...
1
vote
2answers
313 views
Regarding switch from pure mathematics to machine learning: opinions and information [closed]
I'm a first year postdoc in pure mathematics (geometry/topology with strong background in analysis) with undergraduate statistics and probability background (with also measure theoretic probability). ...
7
votes
2answers
1k views
How useful is the CLT in applications?
My lecturer just covered the Lindeberg-Lévy central limit theorem and the multivariate version, the Lindeberg-Feller CLT. I understood the basic concept and I can derive it, etc. But it would help my ...
