Electronic Journal of Statistics

{{Infobox journal

| title = Electronic Journal of Statistics

| abbreviation = Electron. J. Stat.

| discipline = Statistics

| editors = Alexandra Carpentier and Arnak Dalalyan (2025–2027)

| publisher = Institute of Mathematical Statistics and the Bernoulli Society

| country =

| history = 2007–present

| frequency = Upon acceptation

| impact = 1.529

| impact-year = 2017

| openaccess = Yes

| license = Creative Commons Attribution

| website = http://www.imstat.org/journals-and-publications/electronic-journal-of-statistics/

| link1 = http://projecteuclid.org/current/euclid.ejs

| link1-name = Online access

| link2 = http://projecteuclid.org/ejs

| link2-name = Online archive

| eISSN = 1935-7524

| OCLC = 82214859

| LCCN = 2007214848

}}

The Electronic Journal of Statistics is an open access peer-reviewed scientific journal published by the Institute of Mathematical Statistics and the Bernoulli Society. It covers all aspects of statistics (theoretical, computational, and applied); the previous editor-in-chief were Larry Wasserman (2007–2009), David Ruppert (2010–2012), George Michailidis (2013–2015), Domenico Marinucci (2016–2021), Gang Li and Grace Yi (2022–2024). According to the Journal Citation Reports, the journal has a 2013 impact factor of 1.024.{{cite book |year=2014 |chapter=Electronic Journal of Statistics |title=2013 Journal Citation Reports |publisher=Thomson Reuters |edition=Science |series=Web of Science }} By 2017, the impact factor was recorded as 1.529.{{Cite web|url=https://www.scimagojr.com/journalsearch.php?q=19900192726&tip=sid|title=Electronic Journal of Statistics|website=www.scimagojr.com|access-date=2019-02-05}}