成上市公司的利润，买不起北上广深的一套房。这说明了三件事：1）上市公司垃圾太多，该退市的赶紧退市。2）一线房地产市场已***，高杠杆配资众筹高利贷该用的手段都用上了，这场面跟股灾前多么类似。3）口是心非，嘴上喊着供给侧一路一带互联网金融大众创新，心里却想：傻X们，都去炒房吧。

What the Jimmy Savile report exposes most clearly is the intimate relationship between size and disaster in institutions
Do you go into work afraid? Do you sense a “culture of fear” round you?

That is the phrase thrown at the BBC by Dame Janet Smith’s report on the Savile affair. It is hardly unique. It was used of the fate of NHS whistleblowers. It underlies the police behaviour in Rotherham’s sex exploitation case. It underpins many banking scandals.

Gira calls accusation a ‘slanderous lie’ after his label protege Grimm took to Facebook to post an account of alleged abuse

Swans frontman Michael Gira has defended himself from an accusation of rape, calling it a “slanderous lie”.

The allegation against Gira was made by singer-songwriter Larkin Grimm, who posted what she claims to be an account of the pair’s relationship on her Facebook page, including what she says is a detailed recollection of the incident. She described Gira as “my beloved, trusted mentor, really my guru” but claims that he persistently pestered her for sex during their time working together, which she always declined. She goes on to write that one night in 2008, after a night of heavy drinking, Gira asked if he could share a bed with her and she claims he then raped her in her sleep.

Clinical data on the prognosis of diseases with a clinical history marked by exacerbations and remissions are best derived from a longitudinal study of a group of patients from the onset of disease. For instance, in Systemic Lupus Erythmatouses (SLE), an autoimmune disease, the clinical pivotal issues are correlated with the transitions between exacerbations (aggravation) and remissions (free of the disease condition). In other words, patients suffering from SLE may have a sudden change in the disease activity when there is a worsening of the disease condition or the patient may be free of the disease condition for some period of time which is usually not known. The usual survival analyses or incidence rates by subgroups will not address the impact of transitions [11]. They are restricted by assumptions of non-informative censoring and limit the description of disease to permanent transition from one state (alive) to another (dead). Many clinical studies involve complex changes other than death, for example, relapse, recurrence, recovery, and remission. Investigators will force this complexity to fit with Kaplan–Meier methods by evaluating time to recurrence or relapse. This fragments the investigation and if explored out of context with other outcomes, results in incomplete evaluation of the data. When a person is in relapse, this time often offers some information on the time of death as relapse may lead to overwhelming infection or kidney failure when the patient may eventually die. Relapse also represents a competing risk. The objective for most competing risks is to estimate the time of failure from a particular cause when other causes of failure are not in effect. Thus, two limitations of conventional survival analysis methods currently used for investigation of clinical studies become apparent; (1) they are inadequate to describe the complexity of disease beyond two simple states of alive or dead (or some isolated intermediate endpoint), and (2) they are inadequate to handle the complicated issue of observations.

2016年中超冬季转会窗口2月26日关闭，各俱乐部挥金如土的状态也将落幕暂停。但是这种砸钱引大牌的做法能否帮助振兴中国足球呢？

欧洲时间2月26日下午，国际足联（FIFA）将举行这个足球运动管理机构历史上其中一次最重要也最受全球关注的选举，决定谁将会顶替塞普·布拉特（Sepp Blatter），接手这个腐败丑闻缠身的机构。

‘We are just scratching the surface’ on Oprah’s involvement, said the weight-loss program’s CEO but do fourth quarter earnings foreshadow the inevitable?

Is Oprah reviving Weight Watchers or prolonging its death?

When the company announced its fourth quarter earnings on Thursday, it revealed that it was still losing members.But the decline in membership slowed during the fourth quarter when Oprah Winfrey became the company’s marketing partner and board member.

We asked for your experiences of civil society crackdowns. From a harsh new law in Uganda to Turkey’s draconian social media policing, this is what you said

Civil society is under threat as governments in many countries move to suppress dissent. In its annual human rights report, Amnesty International warned of a creeping trend towards governments attacking or underfunding groups that protect human rights. “Not only are our rights under threat, so are the laws and the system that protect them,” said Amnesty International’s secretary general, Salil Shetty. “More than 70 years of hard work and human progress lies at risk.”

We asked readers to share their experiences of crackdowns on civil society. From restricting student activism in Turkey to cutting funds to NGOs in Kenya, here’s a selection of the responses we received.

Continue reading...

The Republicans continued to spar after debate night and Hillary Clinton blanketed South Carolina ahead of Super Tuesday

A feisty evening: Republican debate turns nasty
A change of pace: Rubio and Cruz should have targeted Trump like this before
A postmortem: 11 things we learned from the Republican debate
12.04am GMT

Australian basketball phenom and NBA player Andrew Bogut is keeping his green card close...

This Trump fella has a rally in downtown OKC tonight. I will keep green card and passport on me at all times, just in case........

John Crace’s digested week: from a man in denim hotpants to childhood memories being repackaged for a younger generation

Monday

I am not particularly keen on waking up to a bloke in denim hot pants and high heels strutting his stuff, but I don’t feel strongly enough about it to make a fuss. I appear to be in a minority as the Moneysupermarket ad topped the Advertising Standards Authority complaints list for 2015.

During 1982, seven localities and 22 villages were selected from the Vellore town and KV Kuppam development block sampling frames, respectively. All children aged 5–7 years were screened for signs of malnutrition by consultant pediatricians. The children from rural and urban areas of Vellore town were screened at baseline and were followed up for 3.5 years where, data was collected at every sixth month, spanning seven follow-ups. Oral consent was obtained from the parents of these children. The written informed consent was not mandatory during that time. The Christian Medical College Vellore IRB provided ethical approval. The anthropometric data were collected by two anthropologists, and care was taken to reduce inter- and intra-observer variation by standardizing the procedure.

There are different criteria to detect children with UW, however, this paper used body mass index (BMI) Z scores. BMI Z scores were classified as Severe, Mild/Moderate UW and, Normal using <−3Z<−3Z, −3Z−3Z to −2Z−2Z and >−2Z>−2Z score, respectively, [16]. The EPIINFO version 3.5.1 Nutrition module was used to compute the age and sex specific Z scores [14].

Let YtYt be the malnutrition state measured at time t; t=0,1,2,3,4,5,6,7. Then, YtYt is said to have the Markov property, if P(Yt+1∣Y1,Y2,…,Yt)=P(Yt+1∣Yt)P(Yt+1∣Y1,Y2,…,Yt)=P(Yt+1∣Yt). In otherwords, the probability of future state of malnutrition depends only on the current state and not on the past states. The conditional probabilities describing the future state of the process given the states occupied by the process in the past are referred to as transition probabilities and are denoted by
pij(t,t+1)=P(Yt+1=j∣Yt=i),pij(t,t+1)=P(Yt+1=j∣Yt=i),(1)
where pij≥0, ∀i,jpij≥0, ∀i,j; ∑jpij=1, ∀i∑jpij=1, ∀i; i, j=1, 2, 3, the states of malnutrition.

“你们有三个选择：你可以选择A，或者A，或者A。”

　　哇，琳琅满目耶。

　　什么？你想选择B？好的，谢谢你选择A。什么？你想选择B？好的，谢谢你选择A。

一种“睡梦教育”，就是在人睡着时不断地向他们广播重复信息。比如，“苹果是个坏东西”、“苹果是个坏东西”、“苹果是个坏东西”……等睡梦中的人们醒过来时，他们会伸着懒腰揉着双眼，喃喃自语：苹果是个坏东西。

Interview: M.C. Srivas, MapR on Demystifying the Art of Processing Massive Data

M.C. Srivas ran one of the major search infrastructure teams at Google where GFS, BigTable and MapReduce were used extensively. He wanted to provide that powerful capability to everyone, and started MapR on his vision to build the next-generation platform for semi-structured big data. His strategy was to evolve Hadoop and bring simplicity of use, extreme speed and complete reliability to Hadoop users everywhere, and make it seamlessly easy for enterprises to use this powerful new way to get deep insights. That vision is shared by all at MapR. Srivas brings to MapR his experiences at Google, Spinnaker Networks, Transarc in building game-changing products that advance the state of the art.

M.C. Srivas

M.C. Srivas

互联网+、众创空间、获得感、非首都功能、网约车、红通、小短假、阅兵蓝、人民币入篮、一照一码

互联网+、众创空间、获得感、非首都功能、网约车、红通、小短假、阅兵蓝、人民币入篮、一照一码

A minimum relative entropy based correlation model
between the response and covariates

A semiparametric model is presented utilizing dependence between a response
and several covariates.We show that this model is optimum when the marginal distributions of
the response and the covariates are known. This model extends the generalized linear model
and the proportional likelihood ratio model when the marginal distributions are unknown. New
interpretations of known models such as the logistic regression model, density ratio model and
selection bias model are obtained in terms of dependence between variables. For estimation of
parameters, a simple algorithm is presented which is guaranteed to converge. It is also the same
regardless of the choice of the distribution for response and covariates; hence, it can fit a very
wide variety of useful models. Asymptotic properties of the estimators of model parameters are
derived.Real data examples are discussed to illustrate our approach and simulation experiments
are performed to compare with existing procedures.

Luo and Tsai (2012) described neuropsychological scale data where the response variable is the
score from the trail making test (part A) measuring 334 patients’ processing speed in seconds,
and the covariates are years of education, age and diagnosis. Often these types of data have several
covariates (Figs 1 and 2 in Section 7 show scatter plots of scores versus years of education
and age), have unknown statistical distributions and known statistical procedures fail to work
properly. Stamey et al. (1989) examined the correlations between the level of prostate-specific
antigen and several clinical measures in 97 men who were about to receive a radical prostatectomy.
The goal (Hastie et al., 2009) is to predict the logarithm of prostate-specific antigen level,
lpsa, from a number of measurements including log-cancer-volume, lcavol, log-prostate-weight,
lcp, age and logarithm of capsular penetration, lcp (Figs 5–7 in Section 7 show scatter plots
of lpsa versus lcavol, lweight and lcp respectively). Although there are moderately high correlations
between the response and most covariates, a linear regression model does not consider
the non-linearity at the edges of the data.

For a response Y with covariates Zi, 1id, the correlation coefficient corr.Y,Zi/=ci
measures any linear relationship between Y and Zi. When |ci| is much smaller than 1, then
the linear relationship between Y and Zi is very weak. Then we may think of the relationship
between Y and Zis as non-linear in nature. In this sense, ci not only measures the strength
of the linear but also the non-linear relationship between Y and Zi with higher or lower ci
referring respectively to more linearity or more non-linearity. Thus ci can be considered as a
global measure of dependence between Y and Zi. For example, if E.Y|Zi/=Z2
i with Zi being
symmetrically distributed around 0, then ci =0, then the dependence of Y on Zi is entirely
non-linear. Fig. 8(c) in Section 8 considers a similar situation with E.Y|Z/=|Z|.

In this paper, we develop a model for Y based on corr.Y,Zi/=ci, 1id. We shall see
that, when the specified cis are high, the model that is obtained is almost linear (e.g. prostate
data), whereas, when the specified cis are low, the model that is obtained is non-linear (e.g.
the trail making data). In any scientific study, the initial choice of covariates from a vast pool
may be difficult. Given a set of covariates, transformations of covariates or increasing the number
of correlation constraints with original or transformed variables might prove useful for a
better fit of the model developed. See Sections 7 and 8 for discussions on transformations of
covariates.
When the marginal distributions of Y and the Zis are known, our procedure has close connections
with the maximum entropy (ME) principle, which may be stated as follows:

The ME principle can be generalized to the concepts of Kullback–Leibler (KL) distance and
I-projection, as defined below (Csisz′ar, 1975). For two probability measures Q and P, the KL
distance (or, relative entropy) between Q and P is defined as
I.Q|P/=

ln
dQ
dP

dQ, if QP,
∞, otherwise:
.1:1/
(QP means that Q is absolutely continuous with respect to P.) Although I.Q|P/ is not a
metric, it is always non-negative and equals 0 if and only if Q=P. Hence it is often interpreted
as a measure of ‘divergence’ or ‘distance’ between Q and P. For a given P and a specified set of
probability measures C, it is often of interest to find the QÅ ∈C which satisfies

‘when selecting a model for a given situation  it is often appropriate to express the prior
information in
terms of constraints. However, one must be careful so that no information other than  these
specified constraints is used in model selection. That is, other than the constraints that we have,
the uncertainty associated  with the probability distribution to be selected should  be kept  at
its maximum’  (Jaynes,
1957).

The ME principle can be generalized to the concepts of Kullback–Leibler (KL) distance and I
-projection,  as defined below (Csisza′ r, 1975). For two probability measures Q and P , the KL
distance (or, relative entropy) between Q and P is defined as











I.Q|P/ =










( dQ
ln
dP










、 dQ,              if Q











× P ,











.1:1/












,                                   otherwise: