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  1. Yeh Ching-chuan ( Chinese: 葉金川; pinyin: Yè Jīnchuān; born 29 June 1950) is a Taiwanese politician. Education. Upon graduation from National Taiwan University medical school, Yeh began studying for his master's degree in public health. He then obtained an MPH in epidemiology from Harvard School of Public Health in 1981. [1] Political career.

  2. en.wikipedia.org › wiki › Hong_KongHong Kong - Wikipedia

    Hong Kong [e] is a special administrative region of the People's Republic of China. With 7.4 million residents of various nationalities [f] in a 1,104-square-kilometre (426 sq mi) territory, Hong Kong is one of the most densely populated territories in the world.

    • Statement of Theorem
    • Examples
    • Interpretations
    • Forms
    • Correspondence to Other Mathematical Frameworks
    • Generalizations
    • History
    • Use in Genetics
    • See Also
    • Further Reading

    Bayes' theorem is stated mathematically as the following equation: where A {\displaystyle A} and B {\displaystyle B} are events and P ( B ) ≠ 0 {\displaystyle P(B)\neq 0} . 1. P ( A ∣ B ) {\displaystyle P(A\mid B)} is a conditional probability: the probability of event A {\displaystyle A} occurring given that B {\displaystyle B} is true. It is also...

    Drug testing

    Suppose, a particular test for whether someone has been using cannabis is 90% sensitive, meaning the true positive rate(TPR)=0.90. Therefore it leads to 90% true positive results (correct identification of drug use) for cannabis users. The test is also 80% specific, meaning true negative rate (TNR)=0.80. Therefore the test correctly identifies 80% of non-use for non-users, but also generates 20% false positives, or false positive rate(FPR)=0.20, for non-users. Assuming 0.05 prevalence, meanin...

    Cancer rate

    Even if 100% of patients with pancreatic cancer have a certain symptom, when someone has the same symptom, it does not mean that this person has a 100% chance of getting pancreatic cancer. Assuming the incidence rate of pancreatic cancer is 1/100000, while 10/99999 healthy individuals have the same symptoms worldwide, the probability of having pancreatic cancer given the symptoms is only 9.1%, and the other 90.9% could be "false positives" (that is, falsely said to have cancer; "positive" is...

    Defective item rate

    A factory produces an item using three machines—A, B, and C—which account for 20%, 30%, and 50% of its output, respectively. Of the items produced by machine A, 5% are defective; similarly, 3% of machine B's items and 1% of machine C's are defective. If a randomly selected item is defective, what is the probability it was produced by machine C? Once again, the answer can be reached without using the formula by applying the conditions to a hypothetical number of cases. For example, if the fact...

    The interpretation of Bayes' rule depends on the interpretation of probability ascribed to the terms. The two main interpretations are described below. Figure 2 shows a geometric visualization similar to Figure 1. Gerd Gigerenzer and co-authors have pushed hard for teaching Bayes Rule this way, with special emphasis on teaching it to physicians. An...

    Random variables

    Consider a sample space Ω generated by two random variables X and Y. In principle, Bayes' theorem applies to the events A = {X = x} and B = {Y = y}. 1. P ( X = x | Y = y ) = P ( Y = y | X = x ) P ( X = x ) P ( Y = y ) {\displaystyle P(X{=}x|Y{=}y)={\frac {P(Y{=}y|X{=}x)P(X{=}x)}{P(Y{=}y)}}} However, terms become 0 at points where either variable has finite probability density. To remain useful, Bayes' theorem must be formulated in terms of the relevant densities (see Derivation).

    Bayes' rule

    Bayes' theorem in odds formis: 1. O ( A 1 : A 2 ∣ B ) = O ( A 1 : A 2 ) ⋅ Λ ( A 1 : A 2 ∣ B ) {\displaystyle O(A_{1}:A_{2}\mid B)=O(A_{1}:A_{2})\cdot \Lambda (A_{1}:A_{2}\mid B)} where 1. Λ ( A 1 : A 2 ∣ B ) = P ( B ∣ A 1 ) P ( B ∣ A 2 ) {\displaystyle \Lambda (A_{1}:A_{2}\mid B)={\frac {P(B\mid A_{1})}{P(B\mid A_{2})}}} is called the Bayes factor or likelihood ratio. The odds between two events is simply the ratio of the probabilities of the two events. Thus 1. O ( A 1 : A 2 ) = P ( A 1 ) P...

    Propositional logic

    Bayes' theorem represents a generalisation of contraposition which in propositional logiccan be expressed as: 1. ( ¬ A → ¬ B ) → ( B → A ) . {\displaystyle (\lnot A\to \lnot B)\to (B\to A).} The corresponding formula in terms of probability calculus is Bayes' theorem which in its expanded form is expressed as: 1. P ( A ∣ B ) = P ( B ∣ A ) a ( A ) P ( B ∣ A ) a ( A ) + P ( B ∣ ¬ A ) a ( ¬ A ) . {\displaystyle P(A\mid B)={\frac {P(B\mid A)a(A)}{P(B\mid A)a(A)+P(B\mid \lnot A)a(\lnot A)}}.} In t...

    Subjective logic

    Bayes' theorem represents a special case of deriving inverted conditional opinions in subjective logicexpressed as: 1. ( ω A | ~ B S , ω A | ~ ¬ B S ) = ( ω B ∣ A S , ω B ∣ ¬ A S ) ϕ ~ a A , {\displaystyle (\omega _{A{\tilde {|}}B}^{S},\omega _{A{\tilde {|}}\lnot B}^{S})=(\omega _{B\mid A}^{S},\omega _{B\mid \lnot A}^{S}){\widetilde {\phi }}a_{A},} where ϕ ~ {\displaystyle {\widetilde {\phi }}} denotes the operator for inverting conditional opinions. The argument ( ω B ∣ A S , ω B ∣ ¬ A S ) {...

    Conditioned version

    A conditioned version of the Bayes' theorem results from the addition of a third event C {\displaystyle C} on which all probabilities are conditioned: 1. P ( A ∣ B ∩ C ) = P ( B ∣ A ∩ C ) P ( A ∣ C ) P ( B ∣ C ) {\displaystyle P(A\mid B\cap C)={\frac {P(B\mid A\cap C)\,P(A\mid C)}{P(B\mid C)}}}

    Bayes' rule with 3 events

    In the case of 3 events - A, B, and C - it can be shown that:

    Bayes' theorem is named after the Reverend Thomas Bayes (/beɪz/; c. 1701 – 1761), who first used conditional probability to provide an algorithm (his Proposition 9) that uses evidence to calculate limits on an unknown parameter, published as An Essay towards solving a Problem in the Doctrine of Chances (1763). He studied how to compute a distributi...

    In genetics, Bayes' theorem can be used to calculate the probability of an individual having a specific genotype. Many people seek to approximate their chances of being affected by a genetic disease or their likelihood of being a carrier for a recessive gene of interest. A Bayesian analysis can be done based on family history or genetic testing, in...

    Why Most Published Research Findings Are False, a 2005 essay in metascienceby John Ioannidis
    Grunau, Hans-Christoph (24 January 2014). "Preface Issue 3/4-2013". Jahresbericht der Deutschen Mathematiker-Vereinigung. 115 (3–4): 127–128. doi:10.1365/s13291-013-0077-z.
    Gelman, A, Carlin, JB, Stern, HS, and Rubin, DB (2003), "Bayesian Data Analysis," Second Edition, CRC Press.
    Grinstead, CM and Snell, JL (1997), "Introduction to Probability (2nd edition)," American Mathematical Society (free pdf available) .
    "Bayes formula", Encyclopedia of Mathematics, EMS Press, 2001 [1994]
  3. Worldwide distribution of country calling codes. Regions are coloured by first digit. Country calling codes, country dial-in codes, international subscriber dialing ( ISD) codes, or most commonly, telephone country codes are telephone number prefixes for reaching telephone subscribers in foreign countries or areas via international ...

  4. Hironobu Kanagawa (金川 弘敦, Kanagawa Hironobu, October 13, 1963) is a Japanese-Canadian actor and playwright based in Vancouver, British Columbia.

  5. Avatar: The Last Airbender, also known as Avatar: The Legend of Aang in some regions, is an American animated fantasy action television series created by Michael Dante DiMartino and Bryan Konietzko and produced by Nickelodeon Animation Studio .

  6. The Handmaid's Tale is a futuristic dystopian novel [6] by Canadian author Margaret Atwood published in 1985. [7] . It is set in a near-future New England in a patriarchal, totalitarian theonomic state known as the Republic of Gilead, which has overthrown the United States government. [8] .