Randomdot Correlogram - The Golden Fleece
https://botfrens.com/collections/63/contents/21307
https://botfrens.com/collections/63/contents/21307
March 7, 2026 at 2:30 PM
Randomdot Correlogram - The Golden Fleece
https://botfrens.com/collections/63/contents/21307
https://botfrens.com/collections/63/contents/21307
Randomdot Correlogram - The Golden Fleece
https://botfrens.com/collections/63/contents/21307
https://botfrens.com/collections/63/contents/21307
July 13, 2026 at 4:07 PM
Randomdot Correlogram - The Golden Fleece
https://botfrens.com/collections/63/contents/21307
https://botfrens.com/collections/63/contents/21307
Randomdot Correlogram - The Golden Fleece
July 18, 2025 at 5:35 PM
Randomdot Correlogram - The Golden Fleece
Randomdot Correlogram - The Golden Fleece
March 29, 2025 at 10:25 AM
Randomdot Correlogram - The Golden Fleece
Randomdot Correlogram - The Golden Fleece, 1977 #dali #opart
November 12, 2023 at 9:00 AM
Randomdot Correlogram - The Golden Fleece, 1977 #dali #opart
Anyone know where to find an example of an inhibitory cross-correlogram produced by a somatostatin interneuron? #neuroskyence
July 15, 2025 at 1:26 AM
Anyone know where to find an example of an inhibitory cross-correlogram produced by a somatostatin interneuron? #neuroskyence
🧪Friday post - I am trying to think about how best to address reviewers comments on a paper. I'm looking at the visulisation of data comments, and this led me to this fantastic website which contains a plotting bible! how have I not come accross this before!
www.data-to-viz.com#correlogram
www.data-to-viz.com#correlogram
From data to Viz | Find the graphic you need
A classification of chart types based on their input data format.
www.data-to-viz.com
November 14, 2025 at 4:39 PM
🧪Friday post - I am trying to think about how best to address reviewers comments on a paper. I'm looking at the visulisation of data comments, and this led me to this fantastic website which contains a plotting bible! how have I not come accross this before!
www.data-to-viz.com#correlogram
www.data-to-viz.com#correlogram
Randomdot Correlogram - The Golden Fleece https://www.wikiart.org/en/salvador-dali/randomdot-correlogram-the-golden-fleece
September 12, 2024 at 12:29 PM
Randomdot Correlogram - The Golden Fleece https://www.wikiart.org/en/salvador-dali/randomdot-correlogram-the-golden-fleece
I don't understand this paper much but got intrigued by the visuals. These are genome interaction maps: if I got it right, meaningful spatial interactions of pieces of DNA. And it's almost like a cross-correlogram of a block-interacting signal, put sideways with diagonal aligning with the signal!
1/
1/
June 16, 2025 at 5:53 PM
I don't understand this paper much but got intrigued by the visuals. These are genome interaction maps: if I got it right, meaningful spatial interactions of pieces of DNA. And it's almost like a cross-correlogram of a block-interacting signal, put sideways with diagonal aligning with the signal!
1/
1/
Here's a correlogram for counties in CA, NY, and ND, sorted by state and population. Urban counties in CA correlate more strongly with urban counties in NY than with rural counties in CA. Rural CA counties correlate more closely with ND counties than with urban areas within CA.
May 4, 2025 at 2:04 AM
Here's a correlogram for counties in CA, NY, and ND, sorted by state and population. Urban counties in CA correlate more strongly with urban counties in NY than with rural counties in CA. Rural CA counties correlate more closely with ND counties than with urban areas within CA.
Interestingly, the feedback was highly nuanced. On average, our peers are not simply 'for' or 'against' open science as a whole; instead, they support different combinations of these practices.
June 4, 2026 at 8:05 AM
Interestingly, the feedback was highly nuanced. On average, our peers are not simply 'for' or 'against' open science as a whole; instead, they support different combinations of these practices.
anyone come across this statistical issue before?
I have simulated some time series data and am computing crosscorrelograms between two variables. "one year" of smith data recovers ground truth crosscorrelogram (right) but "one month" of sim data (left) gives artifactual negative correlations 🤷♂️
I have simulated some time series data and am computing crosscorrelograms between two variables. "one year" of smith data recovers ground truth crosscorrelogram (right) but "one month" of sim data (left) gives artifactual negative correlations 🤷♂️
September 8, 2025 at 12:29 PM
anyone come across this statistical issue before?
I have simulated some time series data and am computing crosscorrelograms between two variables. "one year" of smith data recovers ground truth crosscorrelogram (right) but "one month" of sim data (left) gives artifactual negative correlations 🤷♂️
I have simulated some time series data and am computing crosscorrelograms between two variables. "one year" of smith data recovers ground truth crosscorrelogram (right) but "one month" of sim data (left) gives artifactual negative correlations 🤷♂️
New paper with unique comparison of the genetic structure of sympatric fairy and brine shrimp populations in Canadian fishless lakes: #Branchinecta was more diverse than #Artemia @ebdonana.bsky.social @freshwaterscience.bsky.social
@aillimnologia.bsky.social @aslo.org
doi.org/10.1080/2044...
@aillimnologia.bsky.social @aslo.org
doi.org/10.1080/2044...
January 18, 2025 at 9:43 AM
New paper with unique comparison of the genetic structure of sympatric fairy and brine shrimp populations in Canadian fishless lakes: #Branchinecta was more diverse than #Artemia @ebdonana.bsky.social @freshwaterscience.bsky.social
@aillimnologia.bsky.social @aslo.org
doi.org/10.1080/2044...
@aillimnologia.bsky.social @aslo.org
doi.org/10.1080/2044...
We have one model here for monosynaptic effects:
doi.org/10.51628/001.... Sometimes the monosynaptic model doesn't work well, though. I haven't really dug into these cases, but suspect there's probably high-frequency common input and/or reciprocal connections
doi.org/10.51628/001.... Sometimes the monosynaptic model doesn't work well, though. I haven't really dug into these cases, but suspect there's probably high-frequency common input and/or reciprocal connections
January 11, 2025 at 4:55 PM
We have one model here for monosynaptic effects:
doi.org/10.51628/001.... Sometimes the monosynaptic model doesn't work well, though. I haven't really dug into these cases, but suspect there's probably high-frequency common input and/or reciprocal connections
doi.org/10.51628/001.... Sometimes the monosynaptic model doesn't work well, though. I haven't really dug into these cases, but suspect there's probably high-frequency common input and/or reciprocal connections
Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram arxiv.org/abs/2609.16633
Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram
Characterizing temporal interactions in social systems is challenging because social behavior can be bursty and non-stationary, violating the stationarity assumptions of many methods used to measure t...
arxiv.org
September 17, 2026 at 8:14 AM
Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram arxiv.org/abs/2609.16633
Our new paper on mtDNA structure for fairy shrimps dispersed by waterbirds in Canadian lakes @ebdonana.bsky.social @freshwaterscience.bsky.social If you don't have full access to the paper, see comments below www.tandfonline.com/doi/full/10....
May 21, 2025 at 10:34 AM
Our new paper on mtDNA structure for fairy shrimps dispersed by waterbirds in Canadian lakes @ebdonana.bsky.social @freshwaterscience.bsky.social If you don't have full access to the paper, see comments below www.tandfonline.com/doi/full/10....
Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram
https://arxiv.org/abs/2609.16633
https://arxiv.org/abs/2609.16633
September 16, 2026 at 3:46 PM
Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram
https://arxiv.org/abs/2609.16633
https://arxiv.org/abs/2609.16633
Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram
https://arxiv.org/abs/2609.16633
https://arxiv.org/abs/2609.16633
September 16, 2026 at 3:34 PM
Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram
https://arxiv.org/abs/2609.16633
https://arxiv.org/abs/2609.16633
Why Does Stationarity Matter"? Whether you are studying econometrics, diving into data science, or building predictive models, time series analysis is a fundamental skill
#timeseriesanalysisimeseriesanalysis" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#timeseriesanalysis #stationarity #timeseriesanalysis #
#timeseriesanalysisimeseriesanalysis" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#timeseriesanalysis #stationarity #timeseriesanalysis #
Why Does Stationarity Matter?
In this post, I will discuss "Why Does Stationarity Matter"? Whether you are studying econometrics, diving into data science, or building predictive models, time series analysis is a fundamental skill. At the heart of this analysis lies a critical concept: stationarity. Why Does Stationarity Matter? Stationary Time Series Major Analytical Problem When Working with Non-Stationary Time Series How to Detect Stationarity Graphically in EViews Time Series Line Plot Correlogram (ACF and PACF) Non-Stationary Series Issue Identifying Stationarity vs Non-Stationarity Here is a breakdown of why stationarity is the bedrock of reliable predictive modeling, along with a step-by-step guide to visually detecting stationarity in EViews.
itfeature.com
August 18, 2026 at 6:48 AM
Why Does Stationarity Matter"? Whether you are studying econometrics, diving into data science, or building predictive models, time series analysis is a fundamental skill
#timeseriesanalysisimeseriesanalysis" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#timeseriesanalysis #stationarity #timeseriesanalysis #
#timeseriesanalysisimeseriesanalysis" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#timeseriesanalysis #stationarity #timeseriesanalysis #
However, as you might expect, these variables are highly correlated with each other, both for the varied role pop size has on genomic diversity and analytical reasons. We attempted to disentangle them with LASSO regression, and inferred unique signals of derived TEs, ROH, and recent pop. size.
March 5, 2025 at 5:17 PM
However, as you might expect, these variables are highly correlated with each other, both for the varied role pop size has on genomic diversity and analytical reasons. We attempted to disentangle them with LASSO regression, and inferred unique signals of derived TEs, ROH, and recent pop. size.
Bridget Smart, Renaud Lambiotte, Takaaki Aoki, Ryota Kobayashi: Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram https://arxiv.org/abs/2609.16633 https://arxiv.org/pdf/2609.16633 https://arxiv.org/html/2609.16633
September 16, 2026 at 6:44 AM
Bridget Smart, Renaud Lambiotte, Takaaki Aoki, Ryota Kobayashi: Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram https://arxiv.org/abs/2609.16633 https://arxiv.org/pdf/2609.16633 https://arxiv.org/html/2609.16633
Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram
https://arxiv.org/abs/2609.16633
Characterizing temporal interactions in social systems is challenging because social behavior can be bursty and non-stationary, violating the stationarity assumptions of many me...📈🤖
https://arxiv.org/abs/2609.16633
Characterizing temporal interactions in social systems is challenging because social behavior can be bursty and non-stationary, violating the stationarity assumptions of many me...📈🤖
September 16, 2026 at 6:13 AM
Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram
https://arxiv.org/abs/2609.16633
Characterizing temporal interactions in social systems is challenging because social behavior can be bursty and non-stationary, violating the stationarity assumptions of many me...📈🤖
https://arxiv.org/abs/2609.16633
Characterizing temporal interactions in social systems is challenging because social behavior can be bursty and non-stationary, violating the stationarity assumptions of many me...📈🤖
A correlogram in Time Series, also known as an Autocorrelation Function (ACF) plot, is a visual tool used in time series analysis to display the correlation of a dataset with itself at different time lags
#timeseriesanalysis #autocorrelation #correlogram #Dataanalysis #ACF #PACF #BasicStatistics
#timeseriesanalysis #autocorrelation #correlogram #Dataanalysis #ACF #PACF #BasicStatistics
What is a Correlogram in Time Series?
A correlogram in Time Series, also known as an Autocorrelation Function (ACF) plot, is a visual tool used in time series analysis to display the correlation of a dataset with itself at different time lags. It is the primary diagnostic tool for determining if a series is stationary or if it contains specific patterns like trends and seasonality. Correlogram in Time Series Short-term Correlogram in Time Series Alternative Time Series Sample Correlogram (Eviews output) Real Life Examples of Correlogram The Weekend Effect in Retail Correlogram of Atmospheric CO2 Levels Correlogram of Heart Rate Variability (HRV)
itfeature.com
May 2, 2026 at 11:58 AM
A correlogram in Time Series, also known as an Autocorrelation Function (ACF) plot, is a visual tool used in time series analysis to display the correlation of a dataset with itself at different time lags
#timeseriesanalysis #autocorrelation #correlogram #Dataanalysis #ACF #PACF #BasicStatistics
#timeseriesanalysis #autocorrelation #correlogram #Dataanalysis #ACF #PACF #BasicStatistics
Understanding the pathology in the 🫁 of patients with #COVID19 might provide clues as to the susceptibility of patients and how the #SARSCoV2 virus can be fatal
www.cell.com/iscience/ful...
www.cell.com/iscience/ful...
December 18, 2023 at 4:59 PM
Understanding the pathology in the 🫁 of patients with #COVID19 might provide clues as to the susceptibility of patients and how the #SARSCoV2 virus can be fatal
www.cell.com/iscience/ful...
www.cell.com/iscience/ful...