Fernando Chirigati

Follow

Generating author description...

All published works
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat An introduction to Docker for reproducible research 2015 Carl Boettiger
1
+ Confidence intervals for the slope of a regression line when the error term has nonconstant variance 1996 Rand R. Wilcox
1
+ PDF Chat Estimation of the simple correlation coefficient 2010 Gwowen Shieh
1
+ PDF Chat Reducing Bias and Error in the Correlation Coefficient Due to Nonnormality 2014 Anthony J. Bishara
James B. Hittner
1
+ An Introduction to the Bootstrap 1994 Bradley Efron
Robert Tibshirani
1
+ Inferences on Correlation Coefficients in Some Classes of Nonnormal Distributions 2000 Ke‐Hai Yuan
Peter M. Bentler
1
+ Robust estimation and outlier detection with correlation coefficients 1975 Susan J. Devlin
R. Gnanadesikan
J. R. Kettenring
1
+ Sample size requirements for estimating pearson, kendall and spearman correlations 2000 Douglas G. Bonett
Thomas A. Wright
1
+ PDF Chat Stability of Persistence Diagrams 2006 David Cohen‐Steiner
Herbert Edelsbrunner
John Harer
1
+ PDF Chat The Jackknife and the Bootstrap for General Stationary Observations 1989 Hans R. Künsch
1
+ Towards estimation error guarantees for distinct values 2000 Moses Charikar
Surajit Chaudhuri
Rajeev Motwani
Vivek Narasayya
1
+ A Monte Carlo Investigation of the Fisher Z Transformation for Normal and Nonnormal Distributions 2000 Kenneth J. Berry
Paul W. Mielke
1
+ PDF Chat Fusing data with correlations 2014 Ravali Pochampally
Anish Das Sarma
Xin Luna Dong
Alexandra Meliou
Divesh Srivastava
1
+ Testing the significance of a correlation with nonnormal data: Comparison of Pearson, Spearman, transformation, and resampling approaches. 2012 Anthony J. Bishara
James B. Hittner
1
+ The unicorn, the normal curve, and other improbable creatures. 1989 Theodore Micceri
1
+ Thirteen Ways to Look at the Correlation Coefficient 1988 Joseph Lee Rodgers
W. Alan Nicewander
1
+ The Effect of Skewness and Kurtosis on Mean and Covariance Structure Analysis 2005 Ke‐Hai Yuan
Peter M. Bentler
Wei Zhang
1
+ PDF Chat Reproducible experiments on dynamic resource allocation in cloud data centers 2016 Andreas Wolke
Martin Bichler
Fernando Chirigati
Victoria Steeves
1
+ PDF Chat Confidence intervals for correlations when data are not normal 2016 Anthony J. Bishara
James B. Hittner
1
+ LSH Ensemble: Internet-Scale Domain Search 2016 Erkang Zhu
Fatemeh Nargesian
Ken Q. Pu
Renée J. Miller
1
+ PDF Chat Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data. 2016 Joost de Winter
Samuel D. Gosling
Jeff Potter
1
+ PDF Chat A Minimal Variance Estimator for the Cardinality of Big Data Set Intersection 2017 Reuven Cohen
Liran Katzir
Aviv Yehezkel
1
+ Asymptotic confidence intervals for the Pearson correlation via skewness and kurtosis 2017 Anthony J. Bishara
Jiexiang Li
Thomas Nash
1
+ Practical Hash Functions for Similarity Estimation and Dimensionality Reduction 2017 Søren Dahlgaard
Mathias Bæk Tejs Knudsen
Mikkel Thorup
1
+ PDF Chat Ad Hoc Table Retrieval using Semantic Similarity 2018 Shuo Zhang
Krisztian Balog
1
+ Statistics in Biology: Statistical Methods for Research in the Natural Sciences. 1968 R. M. Cormack
C. I. Bliss
1
+ Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2018 Andreas Kipf
Thomas Kipf
Bernhard Radke
Viktor Leis
Peter Boncz
Alfons Kemper
1
+ PDF Chat Democratizing Data Science through Interactive Curation of ML Pipelines 2019 Zeyuan Shang
Emanuel Zgraggen
Benedetto Buratti
Ferdinand Kossmann
Philipp Eichmann
Yeounoh Chung
Carsten Binnig
Eli Upfal
Tim Kraska
1
+ Visus 2019 Aécio Santos
Sonia Castelo
Cristian Felix
Jorge Piazentin Ono
Bowen Yu
Sung-Soo Hong
Claudio Silva
Enrico Bertini
Juliana Freire
1
+ PDF Chat Measuring Distance between Reeb Graphs 2014 Ulrich Bauer
Xiaoyin Ge
Yusu Wang
1
+ PDF Chat GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search 2019 Yang Yang
Ying Zhang
Wenjie Zhang
Zengfeng Huang
1
+ PDF Chat Deep unsupervised cardinality estimation 2019 Zongheng Yang
Eric Liang
Amog Kamsetty
Chenggang Wu
Yan Duan
Xi Chen
Pieter Abbeel
Joseph M. Hellerstein
Sanjay Krishnan
Ion Stoica
1
+ Joins on Samples: A Theoretical Guide for Practitioners 2019 Dawei Huang
Dong Young Yoon
Seth Pettie
Barzan Mozafari
1
+ Web Table Extraction, Retrieval and Augmentation: A Survey 2020 Shuo Zhang
Krisztian Balog
1
+ Google Dataset Search by the Numbers 2020 Omar Benjelloun
Shiyu Chen
Natasha Noy
1
+ PDF Chat A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics 2020 M. Baak
R. F. Koopman
H. L. Snoek
S. Klous
1
+ Towards Evaluating Exploratory Model Building Process with AutoML Systems. 2020 Sung-Soo Hong
Sonia Castelo
Vito D’Orazio
Christopher Bethune
Aécio Santos
Scott M. Langevin
David Jonker
Enrico Bertini
Juliana Freire
1
+ Concentration inequalities for sampling without replacement 2015 Rémi Bardenet
Odalric-Ambrym Maillard
1
+ PDF Chat Measuring and testing dependence by correlation of distances 2007 Gábor J. Székely
Maria L. Rizzo
Н. К. Бакиров
1
+ PDF Chat An introduction to Docker for reproducible research, with examples from the R environment 2014 Carl Boettiger
1
+ Morse Theory. (AM-51) 1963 John Milnor
1
+ A MONTE CARLO INVESTIGATION OF THE FISHER Z TRANSFORMATION FOR NORMAL AND NONNORMAL DISTRIBUTIONS 2000 Kenneth J. Berry
1
+ Robust Estimation and Outlier Detection with Correlation Coefficients 1975 Susan J. Devlin
R. Gnanadesikan
J. R. Kettenring
1
+ ARDA: Automatic Relational Data Augmentation for Machine Learning 2020 Nadiia Chepurko
Ryan Marcus
Emanuel Zgraggen
Raul Castro Fernandez
Tim Kraska
David R. Karger
1
+ Linear Statistical Inference and its Applications. 1974 P. Sprent
C. Radhakrishna Rao
1
+ A Framework for Estimating Stream Expression Cardinalities 2015 Anirban Dasgupta
Kevin Lang
Lee Rhodes
Justin Thaler
1
+ Interval Estimation for the Correlation Coefficient 2018 Xinjie Hu
Aekyung Jung
Gengsheng Qin
1