Questions tagged [poisson-binomial-distribution]
A discrete probability distribution corresponding to the sum of independent Bernoulli trials that are not necessarily identically distributed.
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choosing between xtpoisson and xtnbreg
I have a panel data set of which the dv is a count variable(number of protests)and I am choosing between xtpoisson and xtnbreg models; since my dv is over dispersion, my professor suggested me using ...
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Simplify Equation with Random Variables
I'm wondering if whether the following problem has a solution.
Suppose we have i random variables, all independent, and all following a Bernoulli distribution with parameter $p_i$ (all $p_i$'s are ...
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Distribution of sum of possibly non-independent Bernoulli random variables with known variance-covariance matrix
I wonder if there are any results concerning the distribution of sums of possibly non-IID Bernoulli random variables when covariances in all pairs of r.v.'s are known.
To make this more concrete ...
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How to handle big count data with huge orders of magnitude in GLMMs: center & scaling but than negative values are introduced?
I'm relatively new to GLMMs and so far only handled relative data.
Now I'm trying to model if the abundance of a taxon is affected in the disease state (condition) when considering random effects like ...
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29 views
Poisson Multinominal Distribution?
I am aware of the Poisson Binomial Distribution describing the sum of independent-yet-not-identically-distributed binary variables, and its generalized version extending binary variables to variables ...
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1answer
29 views
What is the name and formalism of this discrete distribution? [closed]
I am searching the name of something similar to a binomial distribution, but with individual probabilities (P(1) to P(N)).
I calculated (brute-forced with a script) the probability of k positive ...
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Regression of bounded count variable, with zeroes, and non-independent trials
I'm looking for a way to model 'days alive and out of hospital' after surgery (see link).
The variable is basically a count of patient status on each followup day, but is quite badly behaved, ...
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1answer
48 views
How to estimate probability of $\geq$ 1 success from a non-IID vector of probabilities, given many such vectors (now with asteroids)
I've got a deep neural net that returns sequences of probabilities. There are 25 probabilities per sequence. Many of these probabilities are zero, as a result of padding; when the input to the ...
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MLE for the sum of independent Bernoulli trials with common factor
Suppose I am computing the sum of different bernoulli trials with probability $p_i = P s_i$, where $P$ is a common factor to all trials and $s_i$ is given, how can I compute the MLE for $P$? I realize ...
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Tight error bound for Possion sampling to estimate a real-valued mean without knowledge of variance
I am trying to develop a tight bound on the sampling error of a Poisson sampling (sampling with non-uniform probabilities). I have a set of real-valued data $X$ with finite size $N$ and I want to ...
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38 views
Extreme birthday problem
I have an extreme version of the birthday problem. I want to know:
The probability that $m$ individuals will share a birthday
The expected $m$ given the number of individuals
The slight complication ...
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Can I usefully apply the Lyapunov CLT condition to a finite sum of Bernoulli random variables? [duplicate]
I'd like to get a CLT-like approximate distribution (mostly tail behavior) of the sum $X$ of $n$ independent Bernoulli random variables $X_1, \dots, X_n$, with proportions $p_1, \dots, p_n$.
The ...
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1answer
125 views
Sum of non-identical Bernoulli is overdispersed or underdispersed Binomial?
Extra-binomial variation is defined in this Oxford Reference source:
Greater variability in repeat estimates of a population proportion than would be expected if the population had a binomial ...
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1answer
234 views
How can I compare two zero inflated continuous datasets?
I have two zero-inflated datasets such as,
dt1= 0, 0.1, 0.125, 0, 0, 1.25...
dt2= 1.01, 0, 0, 0.25, 0,...
I want to check the differences, like t.test for ...
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115 views
Sum of Bernoulli variables with known probabilities
Following the ideas from this post and, especially, this post, i was wondering if the a sum of two independent groups of Bernoulli distributed variables whose probabilities are know a priori is a ...
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63 views
Lower bounds for Poisson Binomial distribution tail probability
Consider a Poisson Binomial distribution $X = X_1+X_2+...X_n$, where $X_i$ is $Bernoulli(p_i$). What I am looking is a lower bound on $P(\sum_{i = 1}^{n} X_i \leq k)$, where $k<\sum_{i=1}^{n}p_i$.
...
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Hypothesis testing two weighted Poisson Binomial Distributions with different lengths
I have two groups of people: each group is made by subgroups of people coming from census areas of which I know the probability of being male vs female.
I can calculate the distribution: is a Poisson ...
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1answer
164 views
Poisson binomial distribution hypothesis test
Let $X_i$, $i=1, \dots, n$, be independent non-identically distributed random variables with Bernoulli distributions with unknown probability of successes $p_i$, $i=1, \dotsc, n$. Then $Y:=\sum_{i=1}...
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386 views
Is the mode of a Poisson Binomial distribution next to the mean?
A Poisson-Binomial variable $X\sim PB(p_1, \dots, p_n)$ is the sum of $n$ independent, not necessarily identically distributed, Bernoulli variables $X_1, \dots, X_n$:
$$
X=\sum_{i=1}^n X_i,
$$
with $...
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1answer
270 views
What is the distribution in Quasi-Poisson regression?
For Poisson regression, the assumption is that Y has a Poisson distribution. Is the same assumption true for Quasi-Poisson regression?
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How to transform observations between different binomial distributions?
Context
I am an instructor and I am trying to grade on a curve -- but using a more rigorous mathematical approach than other quick ways I've seen so far. (I'm also interested in this purely ...
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255 views
How can I apply the Poisson ($\mu$) distribution to two series of random draws?
I have the following question:
A box contains 1000 balls, of which 2 are black and the rest are white. If two series of 1000 draws are made at random from this box, what approximately, is the chance ...
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1answer
431 views
How to approximate the distribution of the sum of multiple multinomial random variables?
Say we have $T$ independent Multinomial random variables $X_1,X_2\dots X_T$, with $p(X_t=m)=p_{t,m},m\in\{1,2,...M\}$. What would be the distribution of $X_1+X_2+...+X_T$? If there is no closed-form, ...
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499 views
Poisson distribution and time intervals
Why is poisson distribution always studied as time interval based when it is just a special case of binomial distribution?
Say I have a machine producing pins.
X= perfect pin produced (success event)...
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1answer
75 views
Correlation coefficient of x and y
If we have $$ X\sim Poisson(\lambda), Y|X = x\sim Binomial(x+1,p) $$ What is the
correlation coefficient of X and Y?
So I used $$\rho=\frac{Cov(X,Y)}{\sqrt{Var(x)Var(Y)}} = \frac{E[X[E[Y|X]]-E[X]E[...
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1answer
510 views
Probability of at least one success in a series of independent, non-identical Bernoulli trials
Let's say I have a set of independent Bernoulli trials each with a different probability:
$$
x_i \sim \operatorname{Bernoulli}(p_i)
$$
The number of successes (sum of x) will be distributed ...
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1answer
659 views
Poisson Binomial Distribution - confidence intervals
I'm working on a project which involves multiple trials for which the probability of success is not the same across trials. Given the unequal probabilities per trial, I'm using the Poisson Binomial ...
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1answer
71 views
How to model a recursive probabilistic experiment?
I have a theoretical experiment as follows:
We have two boxes A and B, and N unfair coins (each has different probability for showing Heads).
At the beginning, box A contains all N coins and box B ...
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Which kind of diagnostic plots for count data? [duplicate]
I know that for an lm model is enough to run plot(model_lm) to get diagnostic plots.
I am dealing with high-dimensional count ...
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2answers
78 views
Expected value of $e^{sP}$ where s is a complex number and $P$ is a Poisson rv
For each positive integer $N$, let $ B_N$ be a binomial $(N,1/3)$ random variable and $P$ be a Poisson(5) random variable. I am trying to understand the statistics of $B_P$. Could someone please hint ...
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Limit behavior of "weighted" Poisson Binomial distribution
Given $X_n \sim \operatorname{Binomial}(n, p_n)$ it is known by the Poisson Limit Theorem that as $n \to \infty$ that $$X_n \to \operatorname{Poisson}(np_n).$$
This can be generalized to hold for ...
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1answer
663 views
Poisson-binomial vs. Beta-binomial
I have N distinct bernoulli trials with a distinct probability for each trial given by, P=(p1, p2, ..., pN). I want to know the distribution of the number of successes. Given that I know P, I can ...
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225 views
Partial imputation of missing dates
I'm working with dataframes (one for each of 185 locations) that shows sums of occurrences for each calendar date. There are no 0 values for occurrences in the entire dataset. There are several ...
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2answers
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Given an observed sample from a binomial distribution, how do I solve for the probability distribution of possible 'p' values?
Let's say I have an 'unfair' coin, for which I'm interested in estimating the 'heads' likelihood or 'p' value.
Knowing nothing about the coin, the distribution of probable 'p' values is a uniform ...
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213 views
Sum of independent binomially distributed variables (with different p's)?
The sum of independent variables each following binomial distributions $B(N_i,p_i)$ is also binomial if all $p_i = p$ are equal (in this case the sum follows $B(\sum_i N_i, p)$. If the $p_i$ are ...
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Summation of Series involving Exponential terms
I'm currently working on a problem, which involves Poisson-Binomial Distribution. https://en.wikipedia.org/wiki/Poisson_binomial_distribution
. The Mean of PBD is given by $M=\sum_{i=1}^{n}p_i$ ....
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795 views
How do I propagate error for a Poisson-binomial distribution (sum of probability estimates with standard deviations)
My question is about quantifying the uncertainty associated with a sum of several probabilities, in a case where the probabilities are unequal and are themselves estimates with associated uncertainty (...
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1answer
634 views
Probability mass function of poisson binomial distribution
I'm trying to write a program that calculates the PMF of a Poisson Binomial Distribution. I know there are libraries that have all sort of probability distribution functions, but I'm doing this just ...
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1answer
108 views
Probability mass function with variable probability? [duplicate]
I would like to calculate the probability of a certain result coming out at least 'x' times in 'n' attempts when the probability of result varies on every attempt; all attempts are independent events.
...
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501 views
Comparing two rates: Poisson test or Fisher test (or logistic regression)
I have a setting in which I want to compare the rate of two count quantities under two different conditions.
This can be achieved in two ways: either using a Poisson test, comparing the cases and ...
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1answer
1k views
MLE for Poisson-binomial distribution
I am looking for the maximum likelihood estimator (MLE) for the Poisson-binomial distribution. I understand the derivation of the MLE for a Poisson distribution and a binomial distribution, but I am ...
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How to go from given incidences in 24 years to annual probability?
For a biostatistics class, I have to determine the annual probability of at least one heart attack for various groups of given data that was collected over a period of 24 years. I won't put all the ...
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Standard error of the success rate of a collection of different binomial distributions (whose success rates need to be estimated)
I would like to estimate the correct percentage of tweets that are written in a particular language from a collection of followers of a given account . The goal is to compare different accounts to ...
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How to derive posterior distribution for non-informative Gamma prior distribution?
Lets assume I have 1000 cases of cancer occurring per year in Barcelona. How would I proceed to estimate/derive posterior distribution for this data?
I know that posterior defined as:
$Posterior = ...
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1answer
377 views
Are binomial regression and Poisson regression with an offset to 1 substantially different?
I know that negbin can approximate the betabin distribution, especially when the probability of hitting the max is low (events are more rare). If the offset of a negative binomial regression ...
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2answers
555 views
Random number generator that returns unique 64-bit numbers in sorted order
(I have asked the question at stackoverflow.com here but maybe it's better to ask here for the statistical part. Feel free to correct my question, fix the tags, redirect me...)
I need a generator for ...
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1answer
181 views
Poisson Binomial Distribution with Evenly Distributed Bernoulli Trial Probabilities
Consider the Poisson binomial distribution with $n$ coins and coin probabilities ${1 \over n}, {2\over n}, \dots, {n-1 \over n}, 1$. Do we know an asymptotic for this distribution?
Le Cam's theorem ...
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4answers
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What is the CDF of the sum of weighted Bernoulli random variables?
Let's say we have a random variable $Y$ defined as the sum of $N$ Bernoulli variables $X_i$, each with a different, success probability $p_i$ and a different (fixed) weight $w_i$. The weights are ...
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1answer
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Is using "Normal Approximation to binomial distribution" to test mutation enrichment in genomic region correct?
We are analyzing cancer patient mutation data. We defined set of region on the human genome as binding events, (for the ones who is interested in to the subject, it is a transcription factor binding ...
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2answers
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How to test if turtles are dying mostly at a particular time of year?
I have citizen science records of turtle sightings (alive/dead, and if dead what caused its death e.g. car/predator/etc), and the date they were spotted. What would be the most appropriate test to ...
