Domain Summary

zhimeir.github.io

Zhimei Ren

Global rank: #10402644
Daily visitors: 0.16K
Monthly Visits: 4,768
Pageviews per user: 0.52
Registrar Abuse Contact Email: [email protected]
Registrant Phone:
Rating
TLD: io
IP Address: 185.199.109.153
Organization: Github, Inc.
Category: Science and Education >
Math
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zhimeir.github.io
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Last Updated: 24 day ago
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zhimeir.github.io Trust Score

zhimeir.github.io is probably legit as the trust score is reasonable. Our algorithm rated zhimeir.github.io a 85. Although our rating of zhimeir.github.io is medium to low risk, we encourage you to always vote as the evaluation of the site is done automatically.

The trust rating is high. Might be safe.
Trustscore
85 / 100

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Which Sites are Alternatives & Competitors to zhimeir.github.io?

Explore the top alternatives and rivals of zhimeir.github.io in September 2024, and assess their data relating to website traffic, SEO, Web Server Information, and Whois. Refer to the list below for the best competitors of zhimeir.github.io, and simply click on each one to delve into their specific details.

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Mentioned on Their Website:

  • similarweb.com
    Top 10 seeing-theory.brown.edu Competitors - Similarweb

    https://www.similarweb.com/website/seeing-theory.brown.edu/competitors/

    eeing-theory.brown.edu's top 5 competitors in April 2024 are: statswithr.github.io, mathcubic.org, mfviz.com, zhimeir.github.io, and more.

  • zhimeir.github.io
    Confidence interval based on random forest — rf_based

    https://zhimeir.github.io/cfsurvival/reference/rf_based.html

    x: a vector of the covariate of the test data. alpha: a number betweeo 0 and 1, specifying the miscaverage rate. data_fit: a data frame, containing the training data.

  • zhimeir.github.io
    grf.getWeights — grf.getWeights • cfsurvival - zhimeir.github.io

    https://zhimeir.github.io/cfsurvival/reference/grf.getWeights.html

    An internal function for censored quantile random forest. grf.getWeights (grf, testdata, y_name, c_name, x_name = NULL). Contents

  • umass.edu
    Statistics and Probability Seminar - Zhimei Ren | Department of

    https://www.umass.edu/mathematics-statistics/calendar/statistics-and-probability-seminar/23312

    Statistics and Data Science Seminar Series. Speaker: Zhimei Ren. Institution: University of Chicago. Webpage: https://zhimeir.github.io. We propose a model-free framework for …

  • zhimeir.github.io
    Adaptive Knockoffs - GitHub Pages

    https://zhimeir.github.io/adaptiveKnockoffs/

    Overview. Adaptive Knockoffs is a procedure for the probelm of multiple testing with side information. To learn more about the methodology, readers can refer to the our paper …

  • zhimeir.github.io
    Sensitivity analysis of individual treatment effect under …

    https://zhimeir.github.io/cfsensitivity/index.html

    Overview. This R package implements the method for sensitivity analysis of individual treatment effects proposed in our paper: Sensitivity Analysis of Individual Treatment Effects: A Robust Conformal Inference Approach.

  • zhimeir.github.io
    Predictive interval for cfpac objects — predict.cfpac • cfsensitivity

    https://zhimeir.github.io/cfsensitivity/reference/predict.cfpac.html

    obj: an object of class cfpac.. X_test: testing covariates. estimand: the inferential target that takes value in {"treated", "control"}. See details. type: the type of inference target.

  • zhimeir.github.io
    Confidence interval based on Powell (1986) — pow_based

    https://zhimeir.github.io/cfsurvival/reference/pow_based.html

    x: a vector of the covariate of the test data. alpha: a number betweeo 0 and 1, specifying the miscaverage rate. data_fit: a data frame, containing the training data.

  • zhimeir.github.io
    MIT License • derandomKnock - zhimeir.github.io

    https://zhimeir.github.io/derandomKnock/LICENSE.html

    Copyright (c) 2020 Zhimei Ren. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ...

  • zhimeir.github.io
    Function reference • derandomKnock - GitHub Pages

    https://zhimeir.github.io/derandomKnock/reference/index.html

    All functions . base_filter() Derandomized knockoff filter. derandomKnock() A stable variable selection procedure based on the knockoffs. get_lp_bnd() Solve the linear programming problem to obtain an upper bound of the ratio between the tail bound and the expectation

  • github.com
    Releases · zhimeir/zhimeir.github.io · GitHub

    https://github.com/zhimeir/zhimeir.github.io/releases

    Contribute to zhimeir/zhimeir.github.io development by creating an account on GitHub.

  • github.com
    zhimeir.github.io/LICENSE at main · zhimeir/zhimeir.github.io

    https://github.com/zhimeir/zhimeir.github.io/blob/main/LICENSE

    Contribute to zhimeir/zhimeir.github.io development by creating an account on GitHub.

  • rdrr.io
    adaptive_knockoff: Adaptive knockoff in …

    https://rdrr.io/github/zhimeir/adaptiveKnockoffs/man/adaptive_knockoff.html

    Description. This function takes W as an input and outpus the selection set generated by the adaptive knockoff procedure. Usage. Arguments. …

  • rdrr.io
    zhimeir/cfsurvival: A package to construct predictive confidence

    https://rdrr.io/github/zhimeir/cfsurvival/

    Getting started. README.md. Browse package contents. Vignettes Man pages API and functions Files. zhimeir/cfsurvival documentation built on April 13, 2022, …

  • zhimeir.github.io
    Research - GitHub Pages

    https://zhimeir.github.io/research/

    Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage. [ reproduction code] Ying Jin* and Zhimei Ren*. UPLC-MS/MS Analysis of Urinary …

  • math.pku.edu.cn
    北京大学数学科学学院应用数学教学实验室

    https://www.math.pku.edu.cn/amel/syscgzs/bjxskycgzs/134594.htm

    电话:010-62759536 传真:86-10-65260706 ; Email:[email protected];[email protected]

  • zhimeir.github.io
    Dynamic Batch Learning in High-Dimensional Sparse Linear …

    https://zhimeir.github.io/pdf/highdim_bandit_moils.pdf

    7. Mathematical Formulation: Linear Contexual Bandits. I Time horizon T; number of arms K; I Each arm a2[K] is associated with a d-dimensional feature context x. t;a; I The contexts fx. t;ag. a2[K]are i.i.d. drawn from a Kd-dimensional joint distribution. I If a decision maker selects action a2[K], a reward r.

  • rdrr.io
    filter_glm: Adaptive knockoff filter With GLM (Generalized Linear …

    https://rdrr.io/github/zhimeir/adaptiveKnockoffs/man/filter_glm.html

    Description. filter_glm returns a set of rejections with FDR controlled at custom target. Usage. Arguments. Value. A list of the following: See Also. Other filter: filter_EM() …

  • zhimeir.github.io
    A package to construct predictive confidence interval for survival …

    https://zhimeir.github.io/cfsurvival/

    Overview. The goal of cfsurvival is to provide a lower predictive lower bound for the survival time of an individual, with the guarantee that with probability (1-α) it is no larger than the true survival time.

  • zhimeir.github.io
    Confidence interval based on distributional boosting

    https://zhimeir.github.io/cfsurvival/reference/distBoost_based.html

    x: a vector of the covariate of the test data. c: the censoring time of the test data. alpha: a number betweeo 0 and 1, specifying the miscaverage rate.

  • zhimeir.github.io
    Adaptive Knockoffs - GitHub Pages

    https://zhimeir.github.io/adaptiveKnockoffs/index.html

    Overview. Adaptive Knockoffs is a procedure for the probelm of multiple testing with side information. To learn more about the methodology, readers can refer to the our paper Adaptive Knockoffs.The R-package adaptiveKnockoffs implements this procedure. This website provides tutorials for using the adaptiveKnockoffs R package.

  • rdrr.io
    zhimeir/adaptiveKnockoffs documentation

    https://rdrr.io/github/zhimeir/adaptiveKnockoffs/man/

    The zhimeir/adaptiveKnockoffs package contains the following man pages: adaptive_knockoff calculate.fdphat filter_EM filter_gam filter_glm filter_glmnet …

  • zhimeir.github.io
    Zhimei Ren - vita - GitHub Pages

    https://zhimeir.github.io/pdf/CV_Zhimei_Ren.pdf

    Employment. Assistant Professor of Statistics and Data Science, the Wharton School, University of Pennsylvania July 2023 - present. Postdoctoral Researcher, University of …

  • stat.uchicago.edu
    Zhimei Ren | Department of Statistics | The University of Chicago

    https://stat.uchicago.edu/people/profile/zhimei-ren/

    https://zhimeir.github.io/ Background. Before coming to the University of Chicago, I received my Ph.D. in Statistics from Stanford University, under the supervision of Prof. Emmanuel Candès. Prior to this, I received my B.S. …

  • zhimeir.github.io
    Authors and Citation • derandomKnock - zhimeir.github.io

    https://zhimeir.github.io/derandomKnock/authors.html

    Ren Z (2022). derandomKnock: An R package to implement the derandomized knockoffs procedure.R package version 0.1.0, https://github.com/zhimeir/derandomKnock. @Manual ...

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DNS Lookup

DNS entries, such as A, NS, MX, and TXT records, are crucial for the functioning of the Internet. The A record maps a domain name to an IPv4 address, while the NS record specifies authoritative name servers for a domain. The MX record identifies the mail server responsible for receiving email messages for a domain. Additionally, the TXT record allows for the association of any text information with a domain name. These records play a vital role in ensuring proper communication and connectivity across the internet.

N/A.

zhimeir.github.io Traffic Analysis

According to global rankings, zhimeir.github.io holds the position of #10402644. It attracts an approximate daily audience of 0.16K visitors, leading to a total of 271 pageviews. On a monthly basis, the website garners around 4.77K visitors.

Daily Visitors0.16K
Monthly Visits4.77K
Pages per Visit0.52
Visit Duration0:00:64
Bounce Rate0%
Want complete report?Full SEMrush Report >>
Daily Unique Visitors:
158
Monthly Visits:
4768
Pages per Visit:
0.52
Daily Pageviews:
271
Avg. visit duration:
0:00:64
Bounce rate:
0%
Monthly Visits (SEMrush):
5425

Traffic Sources

SourcesTraffic Share
Social:
32.43%
Paid Referrals:
35.59%
Mail:
0.00%
Search:
31.98%
Direct:
0.00%

Visitors by Country

CountryTraffic Share
El Salvador:
22.82%
Russia:
19.43%
United States:
17.54%
Chile:
15.24%
Peru:
13.89%

SSL Checker - SSL Certificate Verify

An SSL certificate is a digital certificate that ensures a secure encrypted connection between a web server and a user's browser. It provides authentication and encryption to keep data private and protected during transmission. zhimeir.github.io supports HTTPS, demonstrating their commitment to providing a secure browsing experience for users.

HTTP Headers

HTTP headers are additional segments of data exchanged between a client (e.g. a web browser) and a server during an HTTP request or response. They serve to provide instructions, metadata, or control parameters for the interaction between the client and server.

Status
HTTP/1.1 200 OK
Connection
keep-alive
Content-Length
6242
Server
GitHub.com
Content-Type
text/html; charset=utf-8
permissions-policy
interest-cohort=()
Last-Modified
Fri, 17 May 2024 01:37:15 GMT
Access-Control-Allow-Origin
*
ETag
"6646b4cb-1862"
expires
Thu, 06 Jun 2024 23:19:29 GMT
Cache-Control
max-age=600
x-proxy-cache
MISS
X-GitHub-Request-Id
1F8E:1AA9DF:25C0E54:26F324F:666241A8
Accept-Ranges
bytes
Date
Thu, 06 Jun 2024 23:09:29 GMT
Via
1.1 varnish
Age
0
X-Served-By
cache-sjc1000142-SJC
X-Cache
MISS
X-Cache-Hits
0
X-Timer
S1717715369.417404,VS0,VE88
Vary
Accept-Encoding
X-Fastly-Request-ID
4985d6645daf37b1f56e25d97ef44959bcf2005d

Where is zhimeir.github.io hosted?

zhimeir.github.io is likely hosted in various data centers located across different regions worldwide. The current data center mentioned is just one of many where the website may be hosted.

Whois Information

WHOIS protocol used to get domain/IP info. Common for reg details, ownership of a domain/IP. Check zhimeir.github.io for reg/admin contact info, owner, org, email, phone, creation, and expiration dates.

Domain Updated Date:2023-02-09
Domain Created Date:2013-03-08
Domain Expiry Date:
Domain Name:
Registrar WHOIS Server:whois.markmonitor.com
Registrar Abuse Contact Email:[email protected]
Registrar Abuse Contact Phone:+1.2083895740
Domain Registrar:MarkMonitor Inc.
Domain Owner:GitHub, Inc.

Domain Name: github.io

Registry Domain ID: ed6bb85607724679a294e61f95bc4bff-DONUTS

Registrar WHOIS Server: whois.markmonitor.com

Registrar URL: http://www.markmonitor.com

Updated Date: 2023-02-09T09:11:27Z

Creation Date: 2013-03-08T19:12:48Z

Registry Expiry Date: 2025-03-08T19:12:48Z

Registrar: MarkMonitor Inc.

Registrar IANA ID: 292

Registrar Abuse Contact Email: [email protected]

Registrar Abuse Contact Phone: +1.2083895740

Registrant Organization: GitHub, Inc.

Registrant State/Province: CA

Registrant Country: US

Name Server: dns3.p05.nsone.net

SEO Analysis

SEO analysis involves examining the performance of a website, including titles, descriptions, keywords, and website speed. It also includes identifying popular keywords and researching competitor websites to understand their strategies. The analysis aims to optimize the website's visibility and improve its ranking on search engines.

Title Tag:
Zhimei Ren

Length: 10 characters

Title tags are usually best kept short, within 50-70 characters. It's important to note that search engines will typically read the entire title tag even if it exceeds 70 characters, but there is a chance they may cut it off or disregard it.

Meta Description:

No meta description found.

Length: 0 characters

When crafting website descriptions, keep in mind that search engines only show the first 150-160 characters in search results. To ensure your entire description is visible, aim for a length of 25-160 characters. If your description is too long, it may get cut off. Conversely, if it's too short, search engines may add text from elsewhere on your page. Additionally, search engines may modify the description you provide to better match the user's search intent. It's best to strike a balance between brevity and relevance for optimal visibility.

Meta Keywords:

No meta keywords found.

In the realm of search engine optimization, the meta keywords tag has become a relic of the past due to its potential for misuse, ultimately leading major search engines to disregard it in their ranking algorithms.

Keywords Cloud:
Term Count Density
statistics 4 5.71%
university 4 5.71%
zhimei 3 4.29%
professor 3 4.29%
ren 3 4.29%
department 2 2.86%
wharton 2 2.86%
dot 2 2.86%
advised 2 2.86%
selective 1 1.43%
inference 1 1.43%
jelle 1 1.43%
fithian 1 1.43%
peking 1 1.43%
international 1 1.43%
copy 1 1.43%
goeman 1 1.43%
co-organizer 1 1.43%
seminar 1 1.43%
lihua 1 1.43%
upenn 1 1.43%
google 1 1.43%
scholar 1 1.43%
rights 1 1.43%
zren 1 1.43%
email 1 1.43%
ignatiadis 1 1.43%
reserved 1 1.43%
degree 1 1.43%
lei 1 1.43%
nikos 1 1.43%
emmanuel 1 1.43%
anddata 1 1.43%
science 1 1.43%
school 1 1.43%
pennsylvania 1 1.43%
assistant 1 1.43%
homepage 1 1.43%
home 1 1.43%
research 1 1.43%
talks 1 1.43%
teaching 1 1.43%
postdoctoral 1 1.43%
researcher 1 1.43%
stanford 1 1.43%
cand 1 1.43%
prior 1 1.43%
received 1 1.43%
obtained 1 1.43%
barber 1 1.43%
chicago 1 1.43%
rina 1 1.43%
foygel 1 1.43%
bachelors 1 1.43%

A crucial factor in search engine optimization is keyword density, which refers to the proportion of a particular keyword present in the text of a webpage. In order to achieve high rankings on search engine results pages, it is essential to maintain the appropriate keyword density for your primary keyword.

Headings:
<H1>
0
<H2>
1
<H3>
0
<H4>
0
<H5>
0
<H6>
0
<h2>Zhimei Ren</h2>

In SEO, the primary focus is placed on keywords within the content. The title of the page holds the highest importance, followed by heading tags such as h1, h2, and h3. The h1 heading should be the largest on the page, while the h2 heading should be slightly smaller, and the h3 heading even smaller. This hierarchical structure is crucial for optimizing search engine rankings.

Image Alt Attribute:
8 images found in your page, and 8 images are without "ALT" text.

What is the issue about?
The tag does not have an ALT attribute defined. As a general rule, search engines do not interpret the content of image files. The text provided in the attribute enables the site owner to provide relevant information to the search engine and to the end user. Alt text is helpful to end users if they have images disabled or if the image does not properly load. In addition, the Alt text is utilized by screen readers. Make sure that your Alt text is descriptive and accurately reflects what the image represents and supports the content on the page.

How to fix?
Use the <img alt> attribute to write descriptive content for the image: <img source='pic.gif' alt='Accurate and descriptive keyword text that represents the image.' />.

Top Organic Search Terms:
Term Search Volume Traffic Traffic (%)
zhimei ren 260 0 0%

CO-Hosted

CoHosted refers to a situation where multiple domain names (websites) are using the same IP address to point to their respective web servers. They could be owned by different individuals or organizations and may serve entirely different purposes.

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People reviews about zhimeir.github.io

Very positive reviews

rating 5

Total reviews: 2
Average score: 5 stars

The total score is based on reviews found on the following sites
Scamadviser: 5/5 stars, 2 reviews

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Very positive reviews

rating 5

Total reviews: 2
Average score: 5 stars

The total score is based on reviews found on the following sites
Scamadviser: 5/5 stars, 2 reviews


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